id	sid	tid	token	lemma	pos
cana-1756	1	1	communications	communication	NOUN
cana-1756	1	2	on	on	ADP
cana-1756	1	3	applied	apply	VERB
cana-1756	1	4	nonlinear	nonlinear	ADJ
cana-1756	1	5	analysis	analysis	NOUN
cana-1756	1	6	issn	issn	NOUN
cana-1756	1	7	:	:	PUNCT
cana-1756	1	8	1074	1074	NUM
cana-1756	1	9	-	-	PUNCT
cana-1756	1	10	133x	133x	NUM
cana-1756	1	11	vol	vol	NOUN
cana-1756	1	12	32	32	NUM
cana-1756	1	13	no	no	NOUN
cana-1756	1	14	.	.	NOUN
cana-1756	1	15	2	2	NUM
cana-1756	1	16	(	(	PUNCT
cana-1756	1	17	2025	2025	NUM
cana-1756	1	18	)	)	PUNCT
cana-1756	1	19	408	408	NUM
cana-1756	2	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	2	2	attention	attention	NOUN
cana-1756	2	3	monitoring	monitoring	NOUN
cana-1756	2	4	using	use	VERB
cana-1756	2	5	eye	eye	NOUN
cana-1756	2	6	gaze	gaze	NOUN
cana-1756	2	7	with	with	ADP
cana-1756	2	8	a	a	DET
cana-1756	2	9	hybrid	hybrid	ADJ
cana-1756	2	10	ensemble	ensemble	ADJ
cana-1756	2	11	learning	learning	NOUN
cana-1756	2	12	approach	approach	NOUN
cana-1756	2	13	1ranjeet	1ranjeet	NUM
cana-1756	2	14	bidwe	bidwe	NOUN
cana-1756	2	15	,	,	PUNCT
cana-1756	2	16	2gouransh	2gouransh	NUM
cana-1756	2	17	agrawal	agrawal	NOUN
cana-1756	2	18	,	,	PUNCT
cana-1756	2	19	3unnati	3unnati	NUM
cana-1756	2	20	,	,	PUNCT
cana-1756	2	21	4akshay	4akshay	PROPN
cana-1756	2	22	sangwan	sangwan	X
cana-1756	2	23	,	,	PUNCT
cana-1756	2	24	5himanshu	5himanshu	PROPN
cana-1756	2	25	kulhari	kulhari	NOUN
cana-1756	2	26	,	,	PUNCT
cana-1756	2	27	6sashikala	6sashikala	NUM
cana-1756	2	28	mishra	mishra	PROPN
cana-1756	2	29	,	,	PUNCT
cana-1756	2	30	7simi	7simi	PROPN
cana-1756	2	31	bajaj	bajaj	PROPN
cana-1756	2	32	1,2,3,4,5,6	1,2,3,4,5,6	NUM
cana-1756	2	33	symbiosis	symbiosis	NOUN
cana-1756	2	34	institute	institute	NOUN
cana-1756	2	35	of	of	ADP
cana-1756	2	36	technology	technology	PROPN
cana-1756	2	37	,	,	PUNCT
cana-1756	2	38	pune	pune	NOUN
cana-1756	2	39	,	,	PUNCT
cana-1756	2	40	symbiosis	symbiosis	NOUN
cana-1756	2	41	international	international	ADJ
cana-1756	2	42	(	(	PUNCT
cana-1756	2	43	deemed	deem	VERB
cana-1756	2	44	university	university	NOUN
cana-1756	2	45	)	)	PUNCT
cana-1756	2	46	,	,	PUNCT
cana-1756	2	47	lavale	lavale	NOUN
cana-1756	2	48	,	,	PUNCT
cana-1756	2	49	pune	pune	NOUN
cana-1756	2	50	,	,	PUNCT
cana-1756	2	51	maharashtra	maharashtra	PROPN
cana-1756	2	52	,	,	PUNCT
cana-1756	2	53	india	india	PROPN
cana-1756	2	54	7	7	NUM
cana-1756	2	55	director	director	NOUN
cana-1756	2	56	of	of	ADP
cana-1756	2	57	academic	academic	ADJ
cana-1756	2	58	program	program	NOUN
cana-1756	2	59	&	&	CCONJ
cana-1756	2	60	deputy	deputy	NOUN
cana-1756	2	61	associate	associate	NOUN
cana-1756	2	62	dean	dean	PROPN
cana-1756	2	63	international	international	PROPN
cana-1756	2	64	southeast	southeast	PROPN
cana-1756	2	65	asia	asia	PROPN
cana-1756	2	66	at	at	ADP
cana-1756	2	67	western	western	PROPN
cana-1756	2	68	sydney	sydney	PROPN
cana-1756	2	69	university	university	PROPN
cana-1756	2	70	.	.	PUNCT
cana-1756	3	1	1ranjeetbidwe@hotmail.com	1ranjeetbidwe@hotmail.com	NUM
cana-1756	3	2	,	,	PUNCT
cana-1756	3	3	2gouransh12345@gmail.com	2gouransh12345@gmail.com	NUM
cana-1756	3	4	,	,	PUNCT
cana-1756	3	5	3unnatijha2001@gmail.com	3unnatijha2001@gmail.com	NUM
cana-1756	3	6	,	,	PUNCT
cana-1756	3	7	4akshaysangwan8571@gmail.com	4akshaysangwan8571@gmail.com	NUM
cana-1756	3	8	,	,	PUNCT
cana-1756	3	9	5himanshukulhari28@gmail.com	5himanshukulhari28@gmail.com	NUM
cana-1756	3	10	,	,	PUNCT
cana-1756	3	11	6sashikala.mishra@sitpune.edu.in	6sashikala.mishra@sitpune.edu.in	NUM
cana-1756	3	12	,	,	PUNCT
cana-1756	3	13	7k.bajaj@westernsydney.edu.au	7k.bajaj@westernsydney.edu.au	NUM
cana-1756	3	14	corresponding	correspond	VERB
cana-1756	3	15	author	author	NOUN
cana-1756	3	16	:	:	PUNCT
cana-1756	3	17	ranjeetbidwe@hotmail.com1	ranjeetbidwe@hotmail.com1	NOUN
cana-1756	3	18	article	article	NOUN
cana-1756	3	19	history	history	NOUN
cana-1756	3	20	:	:	PUNCT
cana-1756	3	21	received	receive	VERB
cana-1756	3	22	:	:	PUNCT
cana-1756	3	23	03	03	NUM
cana-1756	3	24	-	-	SYM
cana-1756	3	25	08	08	NUM
cana-1756	3	26	-	-	PUNCT
cana-1756	3	27	2024	2024	NUM
cana-1756	3	28	revised	revise	VERB
cana-1756	3	29	:	:	PUNCT
cana-1756	3	30	11	11	NUM
cana-1756	3	31	-	-	SYM
cana-1756	3	32	09	09	NUM
cana-1756	3	33	-	-	PUNCT
cana-1756	3	34	2024	2024	NUM
cana-1756	3	35	accepted	accept	VERB
cana-1756	3	36	:	:	PUNCT
cana-1756	3	37	20	20	NUM
cana-1756	3	38	-	-	SYM
cana-1756	3	39	09	09	NUM
cana-1756	3	40	-	-	PUNCT
cana-1756	3	41	2024	2024	NUM
cana-1756	3	42	abstract	abstract	NOUN
cana-1756	3	43	:	:	PUNCT
cana-1756	4	1	healthcare	healthcare	PROPN
cana-1756	4	2	,	,	PUNCT
cana-1756	4	3	education	education	NOUN
cana-1756	4	4	,	,	PUNCT
cana-1756	4	5	transportation	transportation	NOUN
cana-1756	4	6	safety	safety	NOUN
cana-1756	4	7	,	,	PUNCT
cana-1756	4	8	and	and	CCONJ
cana-1756	4	9	human	human	ADJ
cana-1756	4	10	-	-	PUNCT
cana-1756	4	11	computer	computer	NOUN
cana-1756	4	12	interaction	interaction	NOUN
cana-1756	4	13	are	be	AUX
cana-1756	4	14	just	just	ADV
cana-1756	4	15	few	few	ADJ
cana-1756	4	16	of	of	ADP
cana-1756	4	17	the	the	DET
cana-1756	4	18	many	many	ADJ
cana-1756	4	19	tasks	task	NOUN
cana-1756	4	20	that	that	PRON
cana-1756	4	21	require	require	VERB
cana-1756	4	22	monitoring	monitoring	NOUN
cana-1756	4	23	.	.	PUNCT
cana-1756	5	1	monitoring	monitoring	NOUN
cana-1756	5	2	is	be	AUX
cana-1756	5	3	important	important	ADJ
cana-1756	5	4	for	for	ADP
cana-1756	5	5	all	all	PRON
cana-1756	5	6	of	of	ADP
cana-1756	5	7	these	these	DET
cana-1756	5	8	tasks	task	NOUN
cana-1756	5	9	and	and	CCONJ
cana-1756	5	10	more	more	ADJ
cana-1756	5	11	.	.	PUNCT
cana-1756	6	1	this	this	DET
cana-1756	6	2	paper	paper	NOUN
cana-1756	6	3	presents	present	VERB
cana-1756	6	4	innovative	innovative	ADJ
cana-1756	6	5	work	work	NOUN
cana-1756	6	6	that	that	PRON
cana-1756	6	7	has	have	AUX
cana-1756	6	8	been	be	AUX
cana-1756	6	9	done	do	VERB
cana-1756	6	10	in	in	ADP
cana-1756	6	11	the	the	DET
cana-1756	6	12	field	field	NOUN
cana-1756	6	13	of	of	ADP
cana-1756	6	14	attention	attention	NOUN
cana-1756	6	15	monitoring	monitoring	NOUN
cana-1756	6	16	.	.	PUNCT
cana-1756	7	1	the	the	DET
cana-1756	7	2	work	work	NOUN
cana-1756	7	3	involves	involve	VERB
cana-1756	7	4	combining	combine	VERB
cana-1756	7	5	a	a	DET
cana-1756	7	6	hybrid	hybrid	ADJ
cana-1756	7	7	eye	eye	NOUN
cana-1756	7	8	gaze	gaze	NOUN
cana-1756	7	9	model	model	NOUN
cana-1756	7	10	with	with	ADP
cana-1756	7	11	deep	deep	ADJ
cana-1756	7	12	learning	learning	NOUN
cana-1756	7	13	in	in	ADP
cana-1756	7	14	order	order	NOUN
cana-1756	7	15	to	to	PART
cana-1756	7	16	monitor	monitor	VERB
cana-1756	7	17	the	the	DET
cana-1756	7	18	level	level	NOUN
cana-1756	7	19	of	of	ADP
cana-1756	7	20	attention	attention	NOUN
cana-1756	7	21	that	that	PRON
cana-1756	7	22	a	a	DET
cana-1756	7	23	driver	driver	NOUN
cana-1756	7	24	is	be	AUX
cana-1756	7	25	paying	pay	VERB
cana-1756	7	26	.	.	PUNCT
cana-1756	8	1	this	this	DET
cana-1756	8	2	paper	paper	NOUN
cana-1756	8	3	provides	provide	VERB
cana-1756	8	4	a	a	DET
cana-1756	8	5	description	description	NOUN
cana-1756	8	6	of	of	ADP
cana-1756	8	7	the	the	DET
cana-1756	8	8	hybrid	hybrid	ADJ
cana-1756	8	9	eye	eye	NOUN
cana-1756	8	10	gazing	gazing	NOUN
cana-1756	8	11	model	model	NOUN
cana-1756	8	12	that	that	PRON
cana-1756	8	13	was	be	AUX
cana-1756	8	14	suggested	suggest	VERB
cana-1756	8	15	,	,	PUNCT
cana-1756	8	16	as	as	ADV
cana-1756	8	17	well	well	ADV
cana-1756	8	18	as	as	ADP
cana-1756	8	19	the	the	DET
cana-1756	8	20	results	result	NOUN
cana-1756	8	21	that	that	PRON
cana-1756	8	22	were	be	AUX
cana-1756	8	23	produced	produce	VERB
cana-1756	8	24	by	by	ADP
cana-1756	8	25	the	the	DET
cana-1756	8	26	model	model	NOUN
cana-1756	8	27	.	.	PUNCT
cana-1756	9	1	data	datum	NOUN
cana-1756	9	2	augmentation	augmentation	NOUN
cana-1756	9	3	techniques	technique	NOUN
cana-1756	9	4	such	such	ADJ
cana-1756	9	5	as	as	ADP
cana-1756	9	6	rotation	rotation	NOUN
cana-1756	9	7	,	,	PUNCT
cana-1756	9	8	shifting	shift	VERB
cana-1756	9	9	,	,	PUNCT
cana-1756	9	10	shearing	shearing	NOUN
cana-1756	9	11	,	,	PUNCT
cana-1756	9	12	and	and	CCONJ
cana-1756	9	13	flipping	flipping	NOUN
cana-1756	9	14	are	be	AUX
cana-1756	9	15	used	use	VERB
cana-1756	9	16	to	to	ADP
cana-1756	9	17	the	the	DET
cana-1756	9	18	proposed	propose	VERB
cana-1756	9	19	model	model	NOUN
cana-1756	9	20	,	,	PUNCT
cana-1756	9	21	along	along	ADP
cana-1756	9	22	with	with	ADP
cana-1756	9	23	adjustments	adjustment	NOUN
cana-1756	9	24	such	such	ADJ
cana-1756	9	25	as	as	ADP
cana-1756	9	26	changing	change	VERB
cana-1756	9	27	the	the	DET
cana-1756	9	28	fill	fill	NOUN
cana-1756	9	29	mode	mode	NOUN
cana-1756	9	30	in	in	ADP
cana-1756	9	31	terms	term	NOUN
cana-1756	9	32	of	of	ADP
cana-1756	9	33	zooming	zoom	VERB
cana-1756	9	34	into	into	ADP
cana-1756	9	35	the	the	DET
cana-1756	9	36	image	image	NOUN
cana-1756	9	37	and	and	CCONJ
cana-1756	9	38	rescaling	rescaling	NOUN
cana-1756	9	39	.	.	PUNCT
cana-1756	10	1	the	the	DET
cana-1756	10	2	suggested	suggest	VERB
cana-1756	10	3	model	model	NOUN
cana-1756	10	4	makes	make	VERB
cana-1756	10	5	use	use	NOUN
cana-1756	10	6	of	of	ADP
cana-1756	10	7	an	an	DET
cana-1756	10	8	augmented	augment	VERB
cana-1756	10	9	dataset	dataset	NOUN
cana-1756	10	10	.	.	PUNCT
cana-1756	11	1	in	in	ADP
cana-1756	11	2	order	order	NOUN
cana-1756	11	3	to	to	PART
cana-1756	11	4	ensure	ensure	VERB
cana-1756	11	5	that	that	SCONJ
cana-1756	11	6	the	the	DET
cana-1756	11	7	model	model	NOUN
cana-1756	11	8	is	be	AUX
cana-1756	11	9	trained	train	VERB
cana-1756	11	10	in	in	ADP
cana-1756	11	11	a	a	DET
cana-1756	11	12	reliable	reliable	ADJ
cana-1756	11	13	and	and	CCONJ
cana-1756	11	14	consistent	consistent	ADJ
cana-1756	11	15	manner	manner	NOUN
cana-1756	11	16	,	,	PUNCT
cana-1756	11	17	all	all	PRON
cana-1756	11	18	of	of	ADP
cana-1756	11	19	these	these	DET
cana-1756	11	20	aspects	aspect	NOUN
cana-1756	11	21	are	be	AUX
cana-1756	11	22	essential	essential	ADJ
cana-1756	11	23	.	.	PUNCT
cana-1756	12	1	modern	modern	ADJ
cana-1756	12	2	pre	pre	ADJ
cana-1756	12	3	-	-	ADJ
cana-1756	12	4	trained	train	VERB
cana-1756	12	5	architectures	architecture	NOUN
cana-1756	12	6	,	,	PUNCT
cana-1756	12	7	such	such	ADJ
cana-1756	12	8	as	as	ADP
cana-1756	12	9	vgg16	vgg16	PROPN
cana-1756	12	10	,	,	PUNCT
cana-1756	12	11	vgg19	vgg19	PROPN
cana-1756	12	12	,	,	PUNCT
cana-1756	12	13	inceptionv3	inceptionv3	NOUN
cana-1756	12	14	,	,	PUNCT
cana-1756	12	15	efficientnetb0	efficientnetb0	NOUN
cana-1756	12	16	,	,	PUNCT
cana-1756	12	17	efficientnetb7	efficientnetb7	ADV
cana-1756	12	18	,	,	PUNCT
cana-1756	12	19	and	and	CCONJ
cana-1756	12	20	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	12	21	,	,	PUNCT
cana-1756	12	22	are	be	AUX
cana-1756	12	23	the	the	DET
cana-1756	12	24	foundation	foundation	NOUN
cana-1756	12	25	upon	upon	SCONJ
cana-1756	12	26	which	which	PRON
cana-1756	12	27	our	our	PRON
cana-1756	12	28	model	model	NOUN
cana-1756	12	29	is	be	AUX
cana-1756	12	30	constructed	construct	VERB
cana-1756	12	31	.	.	PUNCT
cana-1756	13	1	these	these	DET
cana-1756	13	2	designs	design	NOUN
cana-1756	13	3	are	be	AUX
cana-1756	13	4	modified	modify	VERB
cana-1756	13	5	,	,	PUNCT
cana-1756	13	6	and	and	CCONJ
cana-1756	13	7	then	then	ADV
cana-1756	13	8	more	more	ADJ
cana-1756	13	9	layers	layer	NOUN
cana-1756	13	10	are	be	AUX
cana-1756	13	11	added	add	VERB
cana-1756	13	12	,	,	PUNCT
cana-1756	13	13	in	in	ADP
cana-1756	13	14	order	order	NOUN
cana-1756	13	15	to	to	PART
cana-1756	13	16	facilitate	facilitate	VERB
cana-1756	13	17	the	the	DET
cana-1756	13	18	process	process	NOUN
cana-1756	13	19	of	of	ADP
cana-1756	13	20	capturing	capture	VERB
cana-1756	13	21	very	very	ADV
cana-1756	13	22	minute	minute	ADJ
cana-1756	13	23	attention	attention	NOUN
cana-1756	13	24	dynamics	dynamic	NOUN
cana-1756	13	25	using	use	VERB
cana-1756	13	26	them	they	PRON
cana-1756	13	27	.	.	PUNCT
cana-1756	14	1	the	the	DET
cana-1756	14	2	accuracy	accuracy	NOUN
cana-1756	14	3	and	and	CCONJ
cana-1756	14	4	effectiveness	effectiveness	NOUN
cana-1756	14	5	of	of	ADP
cana-1756	14	6	the	the	DET
cana-1756	14	7	model	model	NOUN
cana-1756	14	8	were	be	AUX
cana-1756	14	9	later	later	ADV
cana-1756	14	10	improved	improve	VERB
cana-1756	14	11	by	by	ADP
cana-1756	14	12	the	the	DET
cana-1756	14	13	utilization	utilization	NOUN
cana-1756	14	14	of	of	ADP
cana-1756	14	15	a	a	DET
cana-1756	14	16	model	model	NOUN
cana-1756	14	17	ensemble	ensemble	ADJ
cana-1756	14	18	.	.	PUNCT
cana-1756	15	1	after	after	SCONJ
cana-1756	15	2	some	some	DET
cana-1756	15	3	time	time	NOUN
cana-1756	15	4	has	have	AUX
cana-1756	15	5	passed	pass	VERB
cana-1756	15	6	,	,	PUNCT
cana-1756	15	7	the	the	DET
cana-1756	15	8	xgboost	xgboost	PROPN
cana-1756	15	9	model	model	NOUN
cana-1756	15	10	is	be	AUX
cana-1756	15	11	amalgamated	amalgamate	VERB
cana-1756	15	12	with	with	ADP
cana-1756	15	13	all	all	PRON
cana-1756	15	14	of	of	ADP
cana-1756	15	15	the	the	DET
cana-1756	15	16	other	other	ADJ
cana-1756	15	17	models	model	NOUN
cana-1756	15	18	that	that	PRON
cana-1756	15	19	were	be	AUX
cana-1756	15	20	utilized	utilize	VERB
cana-1756	15	21	previously	previously	ADV
cana-1756	15	22	in	in	ADP
cana-1756	15	23	the	the	DET
cana-1756	15	24	hybrid	hybrid	ADJ
cana-1756	15	25	model	model	NOUN
cana-1756	15	26	technique	technique	NOUN
cana-1756	15	27	.	.	PUNCT
cana-1756	16	1	this	this	PRON
cana-1756	16	2	is	be	AUX
cana-1756	16	3	done	do	VERB
cana-1756	16	4	in	in	ADP
cana-1756	16	5	order	order	NOUN
cana-1756	16	6	to	to	PART
cana-1756	16	7	achieve	achieve	VERB
cana-1756	16	8	improved	improved	ADJ
cana-1756	16	9	accuracy	accuracy	NOUN
cana-1756	16	10	and	and	CCONJ
cana-1756	16	11	efficiency	efficiency	NOUN
cana-1756	16	12	of	of	ADP
cana-1756	16	13	the	the	DET
cana-1756	16	14	model	model	NOUN
cana-1756	16	15	.	.	PUNCT
cana-1756	17	1	many	many	ADJ
cana-1756	17	2	different	different	ADJ
cana-1756	17	3	assessment	assessment	NOUN
cana-1756	17	4	measures	measure	NOUN
cana-1756	17	5	,	,	PUNCT
cana-1756	17	6	such	such	ADJ
cana-1756	17	7	as	as	ADP
cana-1756	17	8	accuracy	accuracy	NOUN
cana-1756	17	9	,	,	PUNCT
cana-1756	17	10	precision	precision	NOUN
cana-1756	17	11	,	,	PUNCT
cana-1756	17	12	recall	recall	NOUN
cana-1756	17	13	,	,	PUNCT
cana-1756	17	14	f1	f1	NOUN
cana-1756	17	15	score	score	NOUN
cana-1756	17	16	,	,	PUNCT
cana-1756	17	17	and	and	CCONJ
cana-1756	17	18	support	support	NOUN
cana-1756	17	19	,	,	PUNCT
cana-1756	17	20	are	be	AUX
cana-1756	17	21	utilized	utilize	VERB
cana-1756	17	22	in	in	ADP
cana-1756	17	23	order	order	NOUN
cana-1756	17	24	to	to	PART
cana-1756	17	25	conduct	conduct	VERB
cana-1756	17	26	an	an	DET
cana-1756	17	27	adequate	adequate	ADJ
cana-1756	17	28	evaluation	evaluation	NOUN
cana-1756	17	29	of	of	ADP
cana-1756	17	30	the	the	DET
cana-1756	17	31	performance	performance	NOUN
cana-1756	17	32	of	of	ADP
cana-1756	17	33	the	the	DET
cana-1756	17	34	model	model	NOUN
cana-1756	17	35	.	.	PUNCT
cana-1756	18	1	through	through	ADP
cana-1756	18	2	the	the	DET
cana-1756	18	3	use	use	NOUN
cana-1756	18	4	of	of	ADP
cana-1756	18	5	these	these	DET
cana-1756	18	6	indicators	indicator	NOUN
cana-1756	18	7	,	,	PUNCT
cana-1756	18	8	a	a	DET
cana-1756	18	9	comprehensive	comprehensive	ADJ
cana-1756	18	10	comprehension	comprehension	NOUN
cana-1756	18	11	of	of	ADP
cana-1756	18	12	the	the	DET
cana-1756	18	13	model	model	NOUN
cana-1756	18	14	's	's	PART
cana-1756	18	15	capacity	capacity	NOUN
cana-1756	18	16	to	to	PART
cana-1756	18	17	identify	identify	VERB
cana-1756	18	18	and	and	CCONJ
cana-1756	18	19	forecast	forecast	VERB
cana-1756	18	20	attention	attention	NOUN
cana-1756	18	21	patterns	pattern	NOUN
cana-1756	18	22	in	in	ADP
cana-1756	18	23	a	a	DET
cana-1756	18	24	variety	variety	NOUN
cana-1756	18	25	of	of	ADP
cana-1756	18	26	locations	location	NOUN
cana-1756	18	27	is	be	AUX
cana-1756	18	28	achieved	achieve	VERB
cana-1756	18	29	.	.	PUNCT
cana-1756	19	1	we	we	PRON
cana-1756	19	2	were	be	AUX
cana-1756	19	3	able	able	ADJ
cana-1756	19	4	to	to	PART
cana-1756	19	5	obtain	obtain	VERB
cana-1756	19	6	the	the	DET
cana-1756	19	7	highest	high	ADJ
cana-1756	19	8	level	level	NOUN
cana-1756	19	9	of	of	ADP
cana-1756	19	10	accuracy	accuracy	NOUN
cana-1756	19	11	from	from	ADP
cana-1756	19	12	vgg19	vgg19	PROPN
cana-1756	19	13	and	and	CCONJ
cana-1756	19	14	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	19	15	after	after	ADP
cana-1756	19	16	utilizing	utilize	VERB
cana-1756	19	17	the	the	DET
cana-1756	19	18	models	model	NOUN
cana-1756	19	19	,	,	PUNCT
cana-1756	19	20	which	which	PRON
cana-1756	19	21	was	be	AUX
cana-1756	19	22	84.6	84.6	NUM
cana-1756	19	23	%	%	NOUN
cana-1756	19	24	and	and	CCONJ
cana-1756	19	25	83.6	83.6	NUM
cana-1756	19	26	%	%	NOUN
cana-1756	19	27	respectively	respectively	ADV
cana-1756	19	28	.	.	PUNCT
cana-1756	20	1	a	a	DET
cana-1756	20	2	score	score	NOUN
cana-1756	20	3	of	of	ADP
cana-1756	20	4	82	82	NUM
cana-1756	20	5	%	%	NOUN
cana-1756	20	6	was	be	AUX
cana-1756	20	7	achieved	achieve	VERB
cana-1756	20	8	by	by	ADP
cana-1756	20	9	the	the	DET
cana-1756	20	10	vgg16	vgg16	NOUN
cana-1756	20	11	hybrid	hybrid	NOUN
cana-1756	20	12	models	model	NOUN
cana-1756	20	13	during	during	ADP
cana-1756	20	14	the	the	DET
cana-1756	20	15	accuracy	accuracy	NOUN
cana-1756	20	16	test	test	NOUN
cana-1756	20	17	.	.	PUNCT
cana-1756	21	1	the	the	DET
cana-1756	21	2	hybrid	hybrid	ADJ
cana-1756	21	3	eye	eye	NOUN
cana-1756	21	4	gaze	gaze	NOUN
cana-1756	21	5	model	model	NOUN
cana-1756	21	6	is	be	AUX
cana-1756	21	7	a	a	DET
cana-1756	21	8	powerful	powerful	ADJ
cana-1756	21	9	and	and	CCONJ
cana-1756	21	10	adaptable	adaptable	ADJ
cana-1756	21	11	attention	attention	NOUN
cana-1756	21	12	monitoring	monitoring	NOUN
cana-1756	21	13	system	system	NOUN
cana-1756	21	14	that	that	PRON
cana-1756	21	15	can	can	AUX
cana-1756	21	16	be	be	AUX
cana-1756	21	17	utilized	utilize	VERB
cana-1756	21	18	for	for	ADP
cana-1756	21	19	a	a	DET
cana-1756	21	20	wide	wide	ADJ
cana-1756	21	21	range	range	NOUN
cana-1756	21	22	of	of	ADP
cana-1756	21	23	applications	application	NOUN
cana-1756	21	24	.	.	PUNCT
cana-1756	22	1	it	it	PRON
cana-1756	22	2	utilizes	utilize	VERB
cana-1756	22	3	deep	deep	ADJ
cana-1756	22	4	learning	learning	NOUN
cana-1756	22	5	and	and	CCONJ
cana-1756	22	6	pre	pre	ADJ
cana-1756	22	7	-	-	ADJ
cana-1756	22	8	trained	train	VERB
cana-1756	22	9	architectures	architecture	NOUN
cana-1756	22	10	.	.	PUNCT
cana-1756	23	1	keywords	keyword	NOUN
cana-1756	23	2	:	:	PUNCT
cana-1756	23	3	attention	attention	NOUN
cana-1756	23	4	monitoring	monitoring	NOUN
cana-1756	23	5	,	,	PUNCT
cana-1756	23	6	data	datum	NOUN
cana-1756	23	7	augmentation	augmentation	NOUN
cana-1756	23	8	,	,	PUNCT
cana-1756	23	9	vgg16	vgg16	PROPN
cana-1756	23	10	,	,	PUNCT
cana-1756	23	11	vgg19	vgg19	PROPN
cana-1756	23	12	,	,	PUNCT
cana-1756	23	13	inceptionv3	inceptionv3	NOUN
cana-1756	23	14	,	,	PUNCT
cana-1756	23	15	efficientnetb0	efficientnetb0	NOUN
cana-1756	23	16	,	,	PUNCT
cana-1756	23	17	efficientnetb7	efficientnetb7	ADV
cana-1756	23	18	,	,	PUNCT
cana-1756	23	19	inceptionresnetv2	inceptionresnetv2	PROPN
cana-1756	23	20	,	,	PUNCT
cana-1756	23	21	xgboost	xgboost	PROPN
cana-1756	23	22	.	.	PUNCT
cana-1756	24	1	mailto:ranjeetbidwe@hotmail.com	mailto:ranjeetbidwe@hotmail.com	PROPN
cana-1756	24	2	mailto:gouransh12345@gmail.com	mailto:gouransh12345@gmail.com	PROPN
cana-1756	24	3	mailto:unnatijha2001@gmail.com	mailto:unnatijha2001@gmail.com	PROPN
cana-1756	24	4	mailto:akshaysangwan8571@gmail.com	mailto:akshaysangwan8571@gmail.com	PROPN
cana-1756	24	5	mailto:himanshukulhari28@gmail.com	mailto:himanshukulhari28@gmail.com	PROPN
cana-1756	24	6	mailto:sashikala.mishra@sitpune.edu.in	mailto:sashikala.mishra@sitpune.edu.in	PROPN
cana-1756	24	7	mailto:k.bajaj@westernsydney.edu.au	mailto:k.bajaj@westernsydney.edu.au	PROPN
cana-1756	24	8	communications	communication	NOUN
cana-1756	24	9	on	on	ADP
cana-1756	24	10	applied	apply	VERB
cana-1756	24	11	nonlinear	nonlinear	ADJ
cana-1756	24	12	analysis	analysis	NOUN
cana-1756	24	13	issn	issn	NOUN
cana-1756	24	14	:	:	PUNCT
cana-1756	24	15	1074	1074	NUM
cana-1756	24	16	-	-	PUNCT
cana-1756	24	17	133x	133x	NUM
cana-1756	24	18	vol	vol	NOUN
cana-1756	24	19	32	32	NUM
cana-1756	24	20	no	no	NOUN
cana-1756	24	21	.	.	NOUN
cana-1756	24	22	2	2	NUM
cana-1756	24	23	(	(	PUNCT
cana-1756	24	24	2025	2025	NUM
cana-1756	24	25	)	)	PUNCT
cana-1756	24	26	409	409	NUM
cana-1756	24	27	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	24	28	1	1	X
cana-1756	24	29	.	.	PUNCT
cana-1756	24	30	introduction	introduction	NOUN
cana-1756	24	31	the	the	DET
cana-1756	24	32	capability	capability	NOUN
cana-1756	24	33	to	to	PART
cana-1756	24	34	perceive	perceive	VERB
cana-1756	24	35	and	and	CCONJ
cana-1756	24	36	track	track	VERB
cana-1756	24	37	human	human	ADJ
cana-1756	24	38	attention	attention	NOUN
cana-1756	24	39	is	be	AUX
cana-1756	24	40	of	of	ADP
cana-1756	24	41	utmost	utmost	ADJ
cana-1756	24	42	relevance	relevance	NOUN
cana-1756	24	43	for	for	ADP
cana-1756	24	44	a	a	DET
cana-1756	24	45	wide	wide	ADJ
cana-1756	24	46	variety	variety	NOUN
cana-1756	24	47	of	of	ADP
cana-1756	24	48	applications	application	NOUN
cana-1756	24	49	and	and	CCONJ
cana-1756	24	50	sectors	sector	NOUN
cana-1756	24	51	in	in	ADP
cana-1756	24	52	the	the	DET
cana-1756	24	53	current	current	ADJ
cana-1756	24	54	digital	digital	ADJ
cana-1756	24	55	landscape	landscape	NOUN
cana-1756	24	56	,	,	PUNCT
cana-1756	24	57	which	which	PRON
cana-1756	24	58	is	be	AUX
cana-1756	24	59	characterized	characterize	VERB
cana-1756	24	60	by	by	ADP
cana-1756	24	61	a	a	DET
cana-1756	24	62	rapid	rapid	ADJ
cana-1756	24	63	speed	speed	NOUN
cana-1756	24	64	.	.	PUNCT
cana-1756	25	1	the	the	DET
cana-1756	25	2	autonomous	autonomous	ADJ
cana-1756	25	3	driving	driving	NOUN
cana-1756	25	4	technology	technology	NOUN
cana-1756	25	5	that	that	PRON
cana-1756	25	6	relies	rely	VERB
cana-1756	25	7	on	on	ADP
cana-1756	25	8	attention	attention	NOUN
cana-1756	25	9	monitoring	monitoring	NOUN
cana-1756	25	10	is	be	AUX
cana-1756	25	11	one	one	NUM
cana-1756	25	12	example	example	NOUN
cana-1756	25	13	of	of	ADP
cana-1756	25	14	these	these	DET
cana-1756	25	15	technologies	technology	NOUN
cana-1756	25	16	.	.	PUNCT
cana-1756	26	1	these	these	DET
cana-1756	26	2	technologies	technology	NOUN
cana-1756	26	3	have	have	VERB
cana-1756	26	4	a	a	DET
cana-1756	26	5	wide	wide	ADJ
cana-1756	26	6	range	range	NOUN
cana-1756	26	7	of	of	ADP
cana-1756	26	8	applications	application	NOUN
cana-1756	26	9	,	,	PUNCT
cana-1756	26	10	including	include	VERB
cana-1756	26	11	improved	improve	VERB
cana-1756	26	12	end	end	NOUN
cana-1756	26	13	-	-	PUNCT
cana-1756	26	14	user	user	NOUN
cana-1756	26	15	experiences	experience	NOUN
cana-1756	26	16	,	,	PUNCT
cana-1756	26	17	improved	improve	VERB
cana-1756	26	18	healthcare	healthcare	NOUN
cana-1756	26	19	diagnostics	diagnostic	NOUN
cana-1756	26	20	for	for	ADP
cana-1756	26	21	creating	create	VERB
cana-1756	26	22	optimal	optimal	ADJ
cana-1756	26	23	adjustments	adjustment	NOUN
cana-1756	26	24	in	in	ADP
cana-1756	26	25	instructions	instruction	NOUN
cana-1756	26	26	,	,	PUNCT
cana-1756	26	27	and	and	CCONJ
cana-1756	26	28	safety	safety	NOUN
cana-1756	26	29	in	in	ADP
cana-1756	26	30	highstakes	highstake	NOUN
cana-1756	26	31	scenarios	scenario	NOUN
cana-1756	26	32	.	.	PUNCT
cana-1756	27	1	these	these	DET
cana-1756	27	2	developments	development	NOUN
cana-1756	27	3	have	have	AUX
cana-1756	27	4	resulted	result	VERB
cana-1756	27	5	in	in	ADP
cana-1756	27	6	the	the	DET
cana-1756	27	7	creation	creation	NOUN
cana-1756	27	8	of	of	ADP
cana-1756	27	9	a	a	DET
cana-1756	27	10	number	number	NOUN
cana-1756	27	11	of	of	ADP
cana-1756	27	12	very	very	ADV
cana-1756	27	13	sophisticated	sophisticated	ADJ
cana-1756	27	14	and	and	CCONJ
cana-1756	27	15	cutting	cutting	NOUN
cana-1756	27	16	-	-	PUNCT
cana-1756	27	17	edge	edge	NOUN
cana-1756	27	18	technologies	technology	NOUN
cana-1756	27	19	that	that	PRON
cana-1756	27	20	have	have	AUX
cana-1756	27	21	been	be	AUX
cana-1756	27	22	developed	develop	VERB
cana-1756	27	23	expressly	expressly	ADV
cana-1756	27	24	for	for	ADP
cana-1756	27	25	the	the	DET
cana-1756	27	26	purpose	purpose	NOUN
cana-1756	27	27	of	of	ADP
cana-1756	27	28	sensing	sense	VERB
cana-1756	27	29	and	and	CCONJ
cana-1756	27	30	analyzing	analyze	VERB
cana-1756	27	31	the	the	DET
cana-1756	27	32	delicate	delicate	ADJ
cana-1756	27	33	nuances	nuance	NOUN
cana-1756	27	34	of	of	ADP
cana-1756	27	35	human	human	ADJ
cana-1756	27	36	attention	attention	NOUN
cana-1756	27	37	.	.	PUNCT
cana-1756	28	1	eye	eye	NOUN
cana-1756	28	2	gaze	gaze	NOUN
cana-1756	28	3	tracking	tracking	NOUN
cana-1756	28	4	is	be	AUX
cana-1756	28	5	considered	consider	VERB
cana-1756	28	6	to	to	PART
cana-1756	28	7	be	be	AUX
cana-1756	28	8	one	one	NUM
cana-1756	28	9	of	of	ADP
cana-1756	28	10	the	the	DET
cana-1756	28	11	most	most	ADV
cana-1756	28	12	successful	successful	ADJ
cana-1756	28	13	and	and	CCONJ
cana-1756	28	14	promising	promise	VERB
cana-1756	28	15	techniques	technique	NOUN
cana-1756	28	16	in	in	ADP
cana-1756	28	17	the	the	DET
cana-1756	28	18	field	field	NOUN
cana-1756	28	19	of	of	ADP
cana-1756	28	20	attention	attention	NOUN
cana-1756	28	21	detection	detection	NOUN
cana-1756	28	22	.	.	PUNCT
cana-1756	29	1	it	it	PRON
cana-1756	29	2	stands	stand	VERB
cana-1756	29	3	out	out	ADP
cana-1756	29	4	among	among	ADP
cana-1756	29	5	the	the	DET
cana-1756	29	6	other	other	ADJ
cana-1756	29	7	approaches	approach	NOUN
cana-1756	29	8	that	that	PRON
cana-1756	29	9	are	be	AUX
cana-1756	29	10	available	available	ADJ
cana-1756	29	11	.	.	PUNCT
cana-1756	30	1	it	it	PRON
cana-1756	30	2	is	be	AUX
cana-1756	30	3	possible	possible	ADJ
cana-1756	30	4	to	to	PART
cana-1756	30	5	learn	learn	VERB
cana-1756	30	6	a	a	DET
cana-1756	30	7	great	great	ADJ
cana-1756	30	8	deal	deal	NOUN
cana-1756	30	9	about	about	ADP
cana-1756	30	10	a	a	DET
cana-1756	30	11	person	person	NOUN
cana-1756	30	12	's	's	PART
cana-1756	30	13	priorities	priority	NOUN
cana-1756	30	14	,	,	PUNCT
cana-1756	30	15	interests	interest	NOUN
cana-1756	30	16	,	,	PUNCT
cana-1756	30	17	and	and	CCONJ
cana-1756	30	18	areas	area	NOUN
cana-1756	30	19	of	of	ADP
cana-1756	30	20	interest	interest	NOUN
cana-1756	30	21	in	in	ADP
cana-1756	30	22	a	a	DET
cana-1756	30	23	particular	particular	ADJ
cana-1756	30	24	setting	setting	NOUN
cana-1756	30	25	by	by	ADP
cana-1756	30	26	monitoring	monitor	VERB
cana-1756	30	27	what	what	PRON
cana-1756	30	28	they	they	PRON
cana-1756	30	29	are	be	AUX
cana-1756	30	30	looking	look	VERB
cana-1756	30	31	at	at	ADP
cana-1756	30	32	.	.	PUNCT
cana-1756	31	1	the	the	DET
cana-1756	31	2	application	application	NOUN
cana-1756	31	3	of	of	ADP
cana-1756	31	4	this	this	DET
cana-1756	31	5	information	information	NOUN
cana-1756	31	6	will	will	AUX
cana-1756	31	7	help	help	VERB
cana-1756	31	8	in	in	ADP
cana-1756	31	9	the	the	DET
cana-1756	31	10	generation	generation	NOUN
cana-1756	31	11	of	of	ADP
cana-1756	31	12	interfaces	interface	NOUN
cana-1756	31	13	that	that	PRON
cana-1756	31	14	are	be	AUX
cana-1756	31	15	more	more	ADJ
cana-1756	31	16	user	user	NOUN
cana-1756	31	17	-	-	PUNCT
cana-1756	31	18	friendly	friendly	ADJ
cana-1756	31	19	,	,	PUNCT
cana-1756	31	20	the	the	DET
cana-1756	31	21	detection	detection	NOUN
cana-1756	31	22	of	of	ADP
cana-1756	31	23	drivers	driver	NOUN
cana-1756	31	24	who	who	PRON
cana-1756	31	25	are	be	AUX
cana-1756	31	26	weary	weary	ADJ
cana-1756	31	27	,	,	PUNCT
cana-1756	31	28	and	and	CCONJ
cana-1756	31	29	the	the	DET
cana-1756	31	30	implementation	implementation	NOUN
cana-1756	31	31	of	of	ADP
cana-1756	31	32	tailored	tailored	ADJ
cana-1756	31	33	learning	learning	NOUN
cana-1756	31	34	initiatives	initiative	NOUN
cana-1756	31	35	,	,	PUNCT
cana-1756	31	36	amongst	amongst	ADP
cana-1756	31	37	many	many	ADJ
cana-1756	31	38	other	other	ADJ
cana-1756	31	39	things	thing	NOUN
cana-1756	31	40	.	.	PUNCT
cana-1756	32	1	on	on	ADP
cana-1756	32	2	the	the	DET
cana-1756	32	3	other	other	ADJ
cana-1756	32	4	hand	hand	NOUN
cana-1756	32	5	,	,	PUNCT
cana-1756	32	6	methodologies	methodology	NOUN
cana-1756	32	7	that	that	PRON
cana-1756	32	8	are	be	AUX
cana-1756	32	9	used	use	VERB
cana-1756	32	10	for	for	ADP
cana-1756	32	11	eye	eye	NOUN
cana-1756	32	12	gaze	gaze	NOUN
cana-1756	32	13	tracking	track	VERB
cana-1756	32	14	in	in	ADP
cana-1756	32	15	the	the	DET
cana-1756	32	16	real	real	ADJ
cana-1756	32	17	world	world	NOUN
cana-1756	32	18	may	may	AUX
cana-1756	32	19	have	have	VERB
cana-1756	32	20	some	some	DET
cana-1756	32	21	limitations	limitation	NOUN
cana-1756	32	22	.	.	PUNCT
cana-1756	33	1	these	these	DET
cana-1756	33	2	limitations	limitation	NOUN
cana-1756	33	3	may	may	AUX
cana-1756	33	4	include	include	VERB
cana-1756	33	5	sensitivity	sensitivity	NOUN
cana-1756	33	6	to	to	ADP
cana-1756	33	7	the	the	DET
cana-1756	33	8	surrounding	surround	VERB
cana-1756	33	9	environment	environment	NOUN
cana-1756	33	10	,	,	PUNCT
cana-1756	33	11	difficulties	difficulty	NOUN
cana-1756	33	12	with	with	ADP
cana-1756	33	13	calibration	calibration	NOUN
cana-1756	33	14	,	,	PUNCT
cana-1756	33	15	and	and	CCONJ
cana-1756	33	16	a	a	DET
cana-1756	33	17	restricted	restricted	ADJ
cana-1756	33	18	ability	ability	NOUN
cana-1756	33	19	to	to	PART
cana-1756	33	20	be	be	AUX
cana-1756	33	21	applied	apply	VERB
cana-1756	33	22	in	in	ADP
cana-1756	33	23	typical	typical	ADJ
cana-1756	33	24	operating	operating	NOUN
cana-1756	33	25	situations	situation	NOUN
cana-1756	33	26	.	.	PUNCT
cana-1756	34	1	the	the	DET
cana-1756	34	2	findings	finding	NOUN
cana-1756	34	3	of	of	ADP
cana-1756	34	4	this	this	DET
cana-1756	34	5	study	study	NOUN
cana-1756	34	6	provide	provide	VERB
cana-1756	34	7	a	a	DET
cana-1756	34	8	novel	novel	ADJ
cana-1756	34	9	approach	approach	NOUN
cana-1756	34	10	to	to	ADP
cana-1756	34	11	addressing	address	VERB
cana-1756	34	12	these	these	DET
cana-1756	34	13	deficiencies	deficiency	NOUN
cana-1756	34	14	through	through	ADP
cana-1756	34	15	the	the	DET
cana-1756	34	16	utilization	utilization	NOUN
cana-1756	34	17	of	of	ADP
cana-1756	34	18	the	the	DET
cana-1756	34	19	hybrid	hybrid	ADJ
cana-1756	34	20	eye	eye	NOUN
cana-1756	34	21	gaze	gaze	NOUN
cana-1756	34	22	model	model	NOUN
cana-1756	34	23	for	for	ADP
cana-1756	34	24	attention	attention	NOUN
cana-1756	34	25	monitoring	monitoring	NOUN
cana-1756	34	26	.	.	PUNCT
cana-1756	35	1	the	the	DET
cana-1756	35	2	best	good	ADJ
cana-1756	35	3	characteristics	characteristic	NOUN
cana-1756	35	4	of	of	ADP
cana-1756	35	5	a	a	DET
cana-1756	35	6	number	number	NOUN
cana-1756	35	7	of	of	ADP
cana-1756	35	8	different	different	ADJ
cana-1756	35	9	eye	eye	NOUN
cana-1756	35	10	-	-	PUNCT
cana-1756	35	11	tracking	track	VERB
cana-1756	35	12	algorithms	algorithm	NOUN
cana-1756	35	13	were	be	AUX
cana-1756	35	14	combined	combine	VERB
cana-1756	35	15	in	in	ADP
cana-1756	35	16	this	this	DET
cana-1756	35	17	model	model	NOUN
cana-1756	35	18	,	,	PUNCT
cana-1756	35	19	and	and	CCONJ
cana-1756	35	20	data	datum	NOUN
cana-1756	35	21	augmentation	augmentation	NOUN
cana-1756	35	22	was	be	AUX
cana-1756	35	23	also	also	ADV
cana-1756	35	24	incorporated	incorporate	VERB
cana-1756	35	25	in	in	ADP
cana-1756	35	26	order	order	NOUN
cana-1756	35	27	to	to	PART
cana-1756	35	28	increase	increase	VERB
cana-1756	35	29	the	the	DET
cana-1756	35	30	robustness	robustness	NOUN
cana-1756	35	31	of	of	ADP
cana-1756	35	32	the	the	DET
cana-1756	35	33	model	model	NOUN
cana-1756	35	34	.	.	PUNCT
cana-1756	36	1	additionally	additionally	ADV
cana-1756	36	2	,	,	PUNCT
cana-1756	36	3	this	this	DET
cana-1756	36	4	model	model	NOUN
cana-1756	36	5	incorporates	incorporate	VERB
cana-1756	36	6	contemporary	contemporary	ADJ
cana-1756	36	7	deep	deep	ADJ
cana-1756	36	8	learning	learning	NOUN
cana-1756	36	9	architectures	architecture	NOUN
cana-1756	36	10	in	in	ADP
cana-1756	36	11	order	order	NOUN
cana-1756	36	12	to	to	PART
cana-1756	36	13	monitor	monitor	VERB
cana-1756	36	14	attention	attention	NOUN
cana-1756	36	15	in	in	ADP
cana-1756	36	16	a	a	DET
cana-1756	36	17	manner	manner	NOUN
cana-1756	36	18	that	that	PRON
cana-1756	36	19	is	be	AUX
cana-1756	36	20	both	both	CCONJ
cana-1756	36	21	responsive	responsive	ADJ
cana-1756	36	22	and	and	CCONJ
cana-1756	36	23	adaptive	adaptive	ADJ
cana-1756	36	24	.	.	PUNCT
cana-1756	37	1	the	the	DET
cana-1756	37	2	methodology	methodology	NOUN
cana-1756	37	3	makes	make	VERB
cana-1756	37	4	use	use	NOUN
cana-1756	37	5	of	of	ADP
cana-1756	37	6	models	model	NOUN
cana-1756	37	7	that	that	PRON
cana-1756	37	8	have	have	AUX
cana-1756	37	9	already	already	ADV
cana-1756	37	10	been	be	AUX
cana-1756	37	11	trained	train	VERB
cana-1756	37	12	,	,	PUNCT
cana-1756	37	13	such	such	ADJ
cana-1756	37	14	as	as	ADP
cana-1756	37	15	vgg16	vgg16	PROPN
cana-1756	37	16	,	,	PUNCT
cana-1756	37	17	vgg19	vgg19	PROPN
cana-1756	37	18	,	,	PUNCT
cana-1756	37	19	inceptionv3	inceptionv3	NOUN
cana-1756	37	20	,	,	PUNCT
cana-1756	37	21	efficientnetb0	efficientnetb0	NOUN
cana-1756	37	22	,	,	PUNCT
cana-1756	37	23	efficientnetb7	efficientnetb7	ADV
cana-1756	37	24	,	,	PUNCT
cana-1756	37	25	and	and	CCONJ
cana-1756	37	26	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	38	1	[	[	X
cana-1756	38	2	9	9	NUM
cana-1756	38	3	]	]	X
cana-1756	38	4	[	[	X
cana-1756	38	5	16	16	NUM
cana-1756	38	6	]	]	X
cana-1756	38	7	[	[	X
cana-1756	38	8	18	18	NUM
cana-1756	38	9	]	]	X
cana-1756	39	1	[	[	X
cana-1756	39	2	22	22	NUM
cana-1756	39	3	]	]	PUNCT
cana-1756	39	4	.	.	PUNCT
cana-1756	40	1	additional	additional	ADJ
cana-1756	40	2	layers	layer	NOUN
cana-1756	40	3	are	be	AUX
cana-1756	40	4	added	add	VERB
cana-1756	40	5	to	to	ADP
cana-1756	40	6	the	the	DET
cana-1756	40	7	methodology	methodology	NOUN
cana-1756	40	8	that	that	PRON
cana-1756	40	9	has	have	AUX
cana-1756	40	10	been	be	AUX
cana-1756	40	11	established	establish	VERB
cana-1756	40	12	in	in	ADP
cana-1756	40	13	order	order	NOUN
cana-1756	40	14	to	to	PART
cana-1756	40	15	capture	capture	VERB
cana-1756	40	16	attention	attention	NOUN
cana-1756	40	17	patterns	pattern	NOUN
cana-1756	40	18	that	that	PRON
cana-1756	40	19	are	be	AUX
cana-1756	40	20	more	more	ADV
cana-1756	40	21	fine	fine	ADV
cana-1756	40	22	-	-	PUNCT
cana-1756	40	23	grained	grain	VERB
cana-1756	40	24	.	.	PUNCT
cana-1756	41	1	various	various	ADJ
cana-1756	41	2	evaluation	evaluation	NOUN
cana-1756	41	3	metrics	metric	NOUN
cana-1756	41	4	,	,	PUNCT
cana-1756	41	5	such	such	ADJ
cana-1756	41	6	as	as	ADP
cana-1756	41	7	the	the	DET
cana-1756	41	8	f1	f1	NOUN
cana-1756	41	9	-	-	PUNCT
cana-1756	41	10	score	score	NOUN
cana-1756	41	11	,	,	PUNCT
cana-1756	41	12	are	be	AUX
cana-1756	41	13	utilized	utilize	VERB
cana-1756	41	14	in	in	ADP
cana-1756	41	15	order	order	NOUN
cana-1756	41	16	to	to	PART
cana-1756	41	17	conduct	conduct	VERB
cana-1756	41	18	an	an	DET
cana-1756	41	19	in	in	ADP
cana-1756	41	20	-	-	PUNCT
cana-1756	41	21	depth	depth	NOUN
cana-1756	41	22	analysis	analysis	NOUN
cana-1756	41	23	of	of	ADP
cana-1756	41	24	the	the	DET
cana-1756	41	25	hybrid	hybrid	ADJ
cana-1756	41	26	eye	eye	NOUN
cana-1756	41	27	gaze	gaze	NOUN
cana-1756	41	28	model	model	NOUN
cana-1756	41	29	,	,	PUNCT
cana-1756	41	30	which	which	PRON
cana-1756	41	31	includes	include	VERB
cana-1756	41	32	the	the	DET
cana-1756	41	33	examination	examination	NOUN
cana-1756	41	34	of	of	ADP
cana-1756	41	35	features	feature	NOUN
cana-1756	41	36	such	such	ADJ
cana-1756	41	37	as	as	ADP
cana-1756	41	38	accuracy	accuracy	NOUN
cana-1756	41	39	,	,	PUNCT
cana-1756	41	40	precision	precision	NOUN
cana-1756	41	41	,	,	PUNCT
cana-1756	41	42	recall	recall	NOUN
cana-1756	41	43	,	,	PUNCT
cana-1756	41	44	support	support	NOUN
cana-1756	41	45	,	,	PUNCT
cana-1756	41	46	and	and	CCONJ
cana-1756	41	47	performance	performance	NOUN
cana-1756	41	48	.	.	PUNCT
cana-1756	42	1	in	in	ADP
cana-1756	42	2	the	the	DET
cana-1756	42	3	assessments	assessment	NOUN
cana-1756	42	4	,	,	PUNCT
cana-1756	42	5	the	the	DET
cana-1756	42	6	capabilities	capability	NOUN
cana-1756	42	7	of	of	ADP
cana-1756	42	8	the	the	DET
cana-1756	42	9	model	model	NOUN
cana-1756	42	10	will	will	AUX
cana-1756	42	11	be	be	AUX
cana-1756	42	12	presented	present	VERB
cana-1756	42	13	,	,	PUNCT
cana-1756	42	14	along	along	ADP
cana-1756	42	15	with	with	ADP
cana-1756	42	16	how	how	SCONJ
cana-1756	42	17	they	they	PRON
cana-1756	42	18	might	might	AUX
cana-1756	42	19	revolutionize	revolutionize	VERB
cana-1756	42	20	attention	attention	NOUN
cana-1756	42	21	monitoring	monitoring	NOUN
cana-1756	42	22	by	by	ADP
cana-1756	42	23	providing	provide	VERB
cana-1756	42	24	an	an	DET
cana-1756	42	25	interpretable	interpretable	ADJ
cana-1756	42	26	,	,	PUNCT
cana-1756	42	27	flexible	flexible	ADJ
cana-1756	42	28	,	,	PUNCT
cana-1756	42	29	trustworthy	trustworthy	ADJ
cana-1756	42	30	,	,	PUNCT
cana-1756	42	31	and	and	CCONJ
cana-1756	42	32	scalable	scalable	ADJ
cana-1756	42	33	method	method	NOUN
cana-1756	42	34	of	of	ADP
cana-1756	42	35	enhancing	enhance	VERB
cana-1756	42	36	human	human	ADJ
cana-1756	42	37	attention	attention	NOUN
cana-1756	42	38	in	in	ADP
cana-1756	42	39	a	a	DET
cana-1756	42	40	variety	variety	NOUN
cana-1756	42	41	of	of	ADP
cana-1756	42	42	settings	setting	NOUN
cana-1756	42	43	.	.	PUNCT
cana-1756	43	1	2	2	X
cana-1756	43	2	.	.	X
cana-1756	43	3	literature	literature	NOUN
cana-1756	43	4	review	review	VERB
cana-1756	43	5	the	the	DET
cana-1756	43	6	comprehensive	comprehensive	ADJ
cana-1756	43	7	examination	examination	NOUN
cana-1756	43	8	of	of	ADP
cana-1756	43	9	scholarly	scholarly	ADJ
cana-1756	43	10	literature	literature	NOUN
cana-1756	43	11	on	on	ADP
cana-1756	43	12	the	the	DET
cana-1756	43	13	subject	subject	NOUN
cana-1756	43	14	was	be	AUX
cana-1756	43	15	used	use	VERB
cana-1756	43	16	to	to	PART
cana-1756	43	17	set	set	VERB
cana-1756	43	18	up	up	ADP
cana-1756	43	19	table	table	NOUN
cana-1756	43	20	1	1	NUM
cana-1756	43	21	,	,	PUNCT
cana-1756	43	22	which	which	PRON
cana-1756	43	23	is	be	AUX
cana-1756	43	24	based	base	VERB
cana-1756	43	25	on	on	ADP
cana-1756	43	26	the	the	DET
cana-1756	43	27	significant	significant	ADJ
cana-1756	43	28	hypotheses	hypothesis	NOUN
cana-1756	43	29	,	,	PUNCT
cana-1756	43	30	evidence	evidence	NOUN
cana-1756	43	31	found	find	VERB
cana-1756	43	32	,	,	PUNCT
cana-1756	43	33	and	and	CCONJ
cana-1756	43	34	noticeable	noticeable	ADJ
cana-1756	43	35	gaps	gap	NOUN
cana-1756	43	36	that	that	PRON
cana-1756	43	37	were	be	AUX
cana-1756	43	38	deduced	deduce	VERB
cana-1756	43	39	from	from	ADP
cana-1756	43	40	this	this	DET
cana-1756	43	41	paper	paper	NOUN
cana-1756	43	42	.	.	PUNCT
cana-1756	44	1	it	it	PRON
cana-1756	44	2	was	be	AUX
cana-1756	44	3	possible	possible	ADJ
cana-1756	44	4	to	to	PART
cana-1756	44	5	motivate	motivate	VERB
cana-1756	44	6	and	and	CCONJ
cana-1756	44	7	put	put	VERB
cana-1756	44	8	into	into	ADP
cana-1756	44	9	action	action	NOUN
cana-1756	44	10	the	the	DET
cana-1756	44	11	system	system	NOUN
cana-1756	44	12	that	that	PRON
cana-1756	44	13	was	be	AUX
cana-1756	44	14	described	describe	VERB
cana-1756	44	15	in	in	ADP
cana-1756	44	16	this	this	DET
cana-1756	44	17	research	research	NOUN
cana-1756	44	18	with	with	ADP
cana-1756	44	19	the	the	DET
cana-1756	44	20	assistance	assistance	NOUN
cana-1756	44	21	of	of	ADP
cana-1756	44	22	these	these	DET
cana-1756	44	23	surveyed	survey	VERB
cana-1756	44	24	approaches	approach	NOUN
cana-1756	44	25	.	.	PUNCT
cana-1756	45	1	communications	communication	NOUN
cana-1756	45	2	on	on	ADP
cana-1756	45	3	applied	apply	VERB
cana-1756	45	4	nonlinear	nonlinear	ADJ
cana-1756	45	5	analysis	analysis	NOUN
cana-1756	45	6	issn	issn	NOUN
cana-1756	45	7	:	:	PUNCT
cana-1756	45	8	1074	1074	NUM
cana-1756	45	9	-	-	PUNCT
cana-1756	45	10	133x	133x	NUM
cana-1756	45	11	vol	vol	NOUN
cana-1756	45	12	32	32	NUM
cana-1756	45	13	no	no	NOUN
cana-1756	45	14	.	.	NOUN
cana-1756	45	15	2	2	NUM
cana-1756	45	16	(	(	PUNCT
cana-1756	45	17	2025	2025	NUM
cana-1756	45	18	)	)	PUNCT
cana-1756	45	19	410	410	NUM
cana-1756	45	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	45	21	table	table	NOUN
cana-1756	45	22	1	1	NUM
cana-1756	45	23	.	.	PUNCT
cana-1756	45	24	literature	literature	NOUN
cana-1756	45	25	review	review	PROPN
cana-1756	45	26	references	reference	NOUN
cana-1756	45	27	year	year	NOUN
cana-1756	45	28	algorithm	algorithm	PROPN
cana-1756	45	29	used	use	VERB
cana-1756	45	30	summary	summary	NOUN
cana-1756	46	1	[	[	X
cana-1756	46	2	1	1	NUM
cana-1756	46	3	]	]	PUNCT
cana-1756	46	4	2023	2023	NUM
cana-1756	46	5	driver	driver	NOUN
cana-1756	46	6	action	action	NOUN
cana-1756	46	7	recognition	recognition	NOUN
cana-1756	46	8	(	(	PUNCT
cana-1756	46	9	dar	dar	NOUN
cana-1756	46	10	)	)	PUNCT
cana-1756	46	11	.	.	PUNCT
cana-1756	47	1	in	in	ADP
cana-1756	47	2	order	order	NOUN
cana-1756	47	3	to	to	PART
cana-1756	47	4	address	address	VERB
cana-1756	47	5	the	the	DET
cana-1756	47	6	pressing	press	VERB
cana-1756	47	7	issue	issue	NOUN
cana-1756	47	8	of	of	ADP
cana-1756	47	9	distracted	distracted	ADJ
cana-1756	47	10	driving	driving	NOUN
cana-1756	47	11	,	,	PUNCT
cana-1756	47	12	this	this	DET
cana-1756	47	13	research	research	NOUN
cana-1756	47	14	suggests	suggest	VERB
cana-1756	47	15	a	a	DET
cana-1756	47	16	novel	novel	ADJ
cana-1756	47	17	hard	hard	ADJ
cana-1756	47	18	attention	attention	NOUN
cana-1756	47	19	network	network	NOUN
cana-1756	47	20	that	that	PRON
cana-1756	47	21	recognizes	recognize	VERB
cana-1756	47	22	driver	driver	NOUN
cana-1756	47	23	actions	action	NOUN
cana-1756	47	24	in	in	ADP
cana-1756	47	25	actual	actual	ADJ
cana-1756	47	26	driving	drive	VERB
cana-1756	47	27	scenarios	scenario	NOUN
cana-1756	47	28	.	.	PUNCT
cana-1756	48	1	the	the	DET
cana-1756	48	2	hard	hard	ADJ
cana-1756	48	3	attention	attention	NOUN
cana-1756	48	4	mechanism	mechanism	NOUN
cana-1756	48	5	increases	increase	VERB
cana-1756	48	6	accuracy	accuracy	NOUN
cana-1756	48	7	in	in	ADP
cana-1756	48	8	distinguishing	distinguish	VERB
cana-1756	48	9	safe	safe	ADJ
cana-1756	48	10	driving	driving	NOUN
cana-1756	48	11	and	and	CCONJ
cana-1756	48	12	distraction	distraction	NOUN
cana-1756	48	13	because	because	SCONJ
cana-1756	48	14	it	it	PRON
cana-1756	48	15	concentrates	concentrate	VERB
cana-1756	48	16	on	on	ADP
cana-1756	48	17	important	important	ADJ
cana-1756	48	18	information	information	NOUN
cana-1756	48	19	related	relate	VERB
cana-1756	48	20	to	to	ADP
cana-1756	48	21	the	the	DET
cana-1756	48	22	drivers	driver	NOUN
cana-1756	48	23	and	and	CCONJ
cana-1756	48	24	ignores	ignore	VERB
cana-1756	48	25	unimportant	unimportant	ADJ
cana-1756	48	26	information	information	NOUN
cana-1756	48	27	.	.	PUNCT
cana-1756	49	1	the	the	DET
cana-1756	49	2	findings	finding	NOUN
cana-1756	49	3	are	be	AUX
cana-1756	49	4	remarkable	remarkable	ADJ
cana-1756	49	5	:	:	PUNCT
cana-1756	49	6	the	the	DET
cana-1756	49	7	accuracy	accuracy	NOUN
cana-1756	49	8	rate	rate	NOUN
cana-1756	49	9	for	for	ADP
cana-1756	49	10	distraction	distraction	NOUN
cana-1756	49	11	detection	detection	NOUN
cana-1756	49	12	may	may	AUX
cana-1756	49	13	be	be	AUX
cana-1756	49	14	as	as	ADV
cana-1756	49	15	high	high	ADJ
cana-1756	49	16	as	as	ADP
cana-1756	49	17	99.07	99.07	NUM
cana-1756	49	18	%	%	NOUN
cana-1756	49	19	,	,	PUNCT
cana-1756	49	20	while	while	SCONJ
cana-1756	49	21	the	the	DET
cana-1756	49	22	accuracy	accuracy	NOUN
cana-1756	49	23	rate	rate	NOUN
cana-1756	49	24	for	for	ADP
cana-1756	49	25	safe	safe	ADJ
cana-1756	49	26	driving	driving	NOUN
cana-1756	49	27	recognition	recognition	NOUN
cana-1756	49	28	may	may	AUX
cana-1756	49	29	reach	reach	VERB
cana-1756	49	30	up	up	ADP
cana-1756	49	31	to	to	ADP
cana-1756	49	32	95.83	95.83	NUM
cana-1756	49	33	%	%	NOUN
cana-1756	49	34	.	.	PUNCT
cana-1756	50	1	in	in	ADP
cana-1756	50	2	the	the	DET
cana-1756	50	3	meanwhile	meanwhile	NOUN
cana-1756	50	4	,	,	PUNCT
cana-1756	50	5	its	its	PRON
cana-1756	50	6	computational	computational	ADJ
cana-1756	50	7	efficiency	efficiency	NOUN
cana-1756	50	8	is	be	AUX
cana-1756	50	9	higher	high	ADJ
cana-1756	50	10	than	than	ADP
cana-1756	50	11	that	that	PRON
cana-1756	50	12	of	of	ADP
cana-1756	50	13	soft	soft	ADJ
cana-1756	50	14	attention	attention	NOUN
cana-1756	50	15	-	-	PUNCT
cana-1756	50	16	based	base	VERB
cana-1756	50	17	models	model	NOUN
cana-1756	50	18	.	.	PUNCT
cana-1756	51	1	this	this	DET
cana-1756	51	2	work	work	NOUN
cana-1756	51	3	will	will	AUX
cana-1756	51	4	make	make	VERB
cana-1756	51	5	a	a	DET
cana-1756	51	6	big	big	ADJ
cana-1756	51	7	difference	difference	NOUN
cana-1756	51	8	in	in	ADP
cana-1756	51	9	traffic	traffic	NOUN
cana-1756	51	10	safety	safety	NOUN
cana-1756	51	11	.	.	PUNCT
cana-1756	52	1	[	[	X
cana-1756	52	2	2	2	NUM
cana-1756	52	3	]	]	PUNCT
cana-1756	52	4	2023	2023	NUM
cana-1756	52	5	yolov5	yolov5	NOUN
cana-1756	52	6	this	this	DET
cana-1756	52	7	study	study	NOUN
cana-1756	52	8	's	's	PART
cana-1756	52	9	method	method	NOUN
cana-1756	52	10	uses	use	VERB
cana-1756	52	11	high	high	ADJ
cana-1756	52	12	-	-	PUNCT
cana-1756	52	13	definition	definition	NOUN
cana-1756	52	14	cameras	camera	NOUN
cana-1756	52	15	,	,	PUNCT
cana-1756	52	16	user	user	NOUN
cana-1756	52	17	-	-	PUNCT
cana-1756	52	18	friendly	friendly	ADJ
cana-1756	52	19	interfaces	interface	NOUN
cana-1756	52	20	,	,	PUNCT
cana-1756	52	21	behavior	behavior	NOUN
cana-1756	52	22	detection	detection	NOUN
cana-1756	52	23	,	,	PUNCT
cana-1756	52	24	and	and	CCONJ
cana-1756	52	25	face	face	VERB
cana-1756	52	26	recognition	recognition	NOUN
cana-1756	52	27	technology	technology	NOUN
cana-1756	52	28	powered	power	VERB
cana-1756	52	29	by	by	ADP
cana-1756	52	30	yolov5	yolov5	NOUN
cana-1756	52	31	to	to	PART
cana-1756	52	32	track	track	VERB
cana-1756	52	33	students	student	NOUN
cana-1756	52	34	'	'	PART
cana-1756	52	35	attendance	attendance	NOUN
cana-1756	52	36	,	,	PUNCT
cana-1756	52	37	attentiveness	attentiveness	NOUN
cana-1756	52	38	,	,	PUNCT
cana-1756	52	39	and	and	CCONJ
cana-1756	52	40	mood	mood	NOUN
cana-1756	52	41	in	in	ADP
cana-1756	52	42	real	real	ADJ
cana-1756	52	43	-	-	PUNCT
cana-1756	52	44	time	time	NOUN
cana-1756	52	45	throughout	throughout	ADP
cana-1756	52	46	class	class	NOUN
cana-1756	52	47	sessions	session	NOUN
cana-1756	52	48	.	.	PUNCT
cana-1756	53	1	[	[	X
cana-1756	53	2	3	3	NUM
cana-1756	53	3	]	]	PUNCT
cana-1756	53	4	2023	2023	NUM
cana-1756	53	5	cnns	cnn	NOUN
cana-1756	53	6	residual	residual	ADJ
cana-1756	53	7	learning	learning	NOUN
cana-1756	53	8	(	(	PUNCT
cana-1756	53	9	resnet	resnet	NOUN
cana-1756	53	10	)	)	PUNCT
cana-1756	53	11	rnn	rnn	AUX
cana-1756	53	12	finding	find	VERB
cana-1756	53	13	aberrant	aberrant	ADJ
cana-1756	53	14	data	datum	NOUN
cana-1756	53	15	in	in	ADP
cana-1756	53	16	structural	structural	ADJ
cana-1756	53	17	measure	measure	NOUN
cana-1756	53	18	monitoring	monitor	VERB
cana-1756	53	19	data	datum	NOUN
cana-1756	53	20	is	be	AUX
cana-1756	53	21	a	a	DET
cana-1756	53	22	major	major	ADJ
cana-1756	53	23	difficulty	difficulty	NOUN
cana-1756	53	24	in	in	ADP
cana-1756	53	25	this	this	DET
cana-1756	53	26	study	study	NOUN
cana-1756	53	27	since	since	SCONJ
cana-1756	53	28	it	it	PRON
cana-1756	53	29	has	have	VERB
cana-1756	53	30	a	a	DET
cana-1756	53	31	big	big	ADJ
cana-1756	53	32	impact	impact	NOUN
cana-1756	53	33	on	on	ADP
cana-1756	53	34	condition	condition	NOUN
cana-1756	53	35	assessment	assessment	NOUN
cana-1756	53	36	.	.	PUNCT
cana-1756	54	1	in	in	ADP
cana-1756	54	2	order	order	NOUN
cana-1756	54	3	to	to	PART
cana-1756	54	4	improve	improve	VERB
cana-1756	54	5	both	both	DET
cana-1756	54	6	speed	speed	NOUN
cana-1756	54	7	and	and	CCONJ
cana-1756	54	8	accuracy	accuracy	NOUN
cana-1756	54	9	in	in	ADP
cana-1756	54	10	the	the	DET
cana-1756	54	11	categorization	categorization	NOUN
cana-1756	54	12	task	task	NOUN
cana-1756	54	13	,	,	PUNCT
cana-1756	54	14	the	the	DET
cana-1756	54	15	researchers	researcher	NOUN
cana-1756	54	16	suggested	suggest	VERB
cana-1756	54	17	employing	employ	VERB
cana-1756	54	18	a	a	DET
cana-1756	54	19	residual	residual	ADJ
cana-1756	54	20	attention	attention	NOUN
cana-1756	54	21	network	network	NOUN
cana-1756	54	22	(	(	PUNCT
cana-1756	54	23	ran	ran	NOUN
cana-1756	54	24	)	)	PUNCT
cana-1756	54	25	incorporating	incorporate	VERB
cana-1756	54	26	residual	residual	ADJ
cana-1756	54	27	learning	learning	NOUN
cana-1756	54	28	and	and	CCONJ
cana-1756	54	29	attention	attention	NOUN
cana-1756	54	30	mechanisms	mechanism	NOUN
cana-1756	54	31	.	.	PUNCT
cana-1756	55	1	their	their	PRON
cana-1756	55	2	method	method	NOUN
cana-1756	55	3	involved	involve	VERB
cana-1756	55	4	using	use	VERB
cana-1756	55	5	mutual	mutual	ADJ
cana-1756	55	6	information	information	NOUN
cana-1756	55	7	correlation	correlation	NOUN
cana-1756	55	8	analysis	analysis	NOUN
cana-1756	55	9	to	to	PART
cana-1756	55	10	transform	transform	VERB
cana-1756	55	11	hourly	hourly	ADJ
cana-1756	55	12	segmented	segment	VERB
cana-1756	55	13	data	datum	NOUN
cana-1756	55	14	into	into	ADP
cana-1756	55	15	matrix	matrix	NOUN
cana-1756	55	16	form	form	NOUN
cana-1756	55	17	.	.	PUNCT
cana-1756	56	1	using	use	VERB
cana-1756	56	2	datasets	dataset	NOUN
cana-1756	56	3	from	from	ADP
cana-1756	56	4	an	an	DET
cana-1756	56	5	arch	arch	ADJ
cana-1756	56	6	bridge	bridge	NOUN
cana-1756	56	7	and	and	CCONJ
cana-1756	56	8	a	a	DET
cana-1756	56	9	cable	cable	NOUN
cana-1756	56	10	-	-	PUNCT
cana-1756	56	11	stayed	stay	VERB
cana-1756	56	12	bridge	bridge	NOUN
cana-1756	56	13	,	,	PUNCT
cana-1756	56	14	the	the	DET
cana-1756	56	15	ran	ran	NOUN
cana-1756	56	16	model	model	NOUN
cana-1756	56	17	was	be	AUX
cana-1756	56	18	further	far	ADV
cana-1756	56	19	verified	verify	VERB
cana-1756	56	20	and	and	CCONJ
cana-1756	56	21	showed	show	VERB
cana-1756	56	22	good	good	ADJ
cana-1756	56	23	classification	classification	NOUN
cana-1756	56	24	performance	performance	NOUN
cana-1756	56	25	and	and	CCONJ
cana-1756	56	26	generalization	generalization	NOUN
cana-1756	56	27	for	for	ADP
cana-1756	56	28	detecting	detect	VERB
cana-1756	56	29	most	most	ADJ
cana-1756	56	30	abnormalities	abnormality	NOUN
cana-1756	56	31	.	.	PUNCT
cana-1756	57	1	the	the	DET
cana-1756	57	2	ran	ran	NOUN
cana-1756	57	3	performed	perform	VERB
cana-1756	57	4	better	well	ADV
cana-1756	57	5	than	than	ADP
cana-1756	57	6	earlier	early	ADJ
cana-1756	57	7	preprocessing	preprocessing	NOUN
cana-1756	57	8	and	and	CCONJ
cana-1756	57	9	deep	deep	ADJ
cana-1756	57	10	learning	learning	NOUN
cana-1756	57	11	techniques	technique	NOUN
cana-1756	57	12	.	.	PUNCT
cana-1756	58	1	[	[	X
cana-1756	58	2	4	4	NUM
cana-1756	58	3	]	]	SYM
cana-1756	58	4	2023	2023	NUM
cana-1756	58	5	transfer	transfer	NOUN
cana-1756	58	6	learning	learning	NOUN
cana-1756	58	7	using	use	VERB
cana-1756	58	8	eye	eye	NOUN
cana-1756	58	9	gaze	gaze	NOUN
cana-1756	58	10	analysis	analysis	NOUN
cana-1756	58	11	,	,	PUNCT
cana-1756	58	12	the	the	DET
cana-1756	58	13	purpose	purpose	NOUN
cana-1756	58	14	of	of	ADP
cana-1756	58	15	this	this	DET
cana-1756	58	16	work	work	NOUN
cana-1756	58	17	is	be	AUX
cana-1756	58	18	to	to	PART
cana-1756	58	19	make	make	VERB
cana-1756	58	20	a	a	DET
cana-1756	58	21	prediction	prediction	NOUN
cana-1756	58	22	about	about	ADP
cana-1756	58	23	autistic	autistic	ADJ
cana-1756	58	24	features	feature	NOUN
cana-1756	58	25	in	in	ADP
cana-1756	58	26	children	child	NOUN
cana-1756	58	27	.	.	PUNCT
cana-1756	59	1	this	this	DET
cana-1756	59	2	article	article	NOUN
cana-1756	59	3	provides	provide	VERB
cana-1756	59	4	a	a	DET
cana-1756	59	5	concise	concise	ADJ
cana-1756	59	6	overview	overview	NOUN
cana-1756	59	7	of	of	ADP
cana-1756	59	8	the	the	DET
cana-1756	59	9	process	process	NOUN
cana-1756	59	10	of	of	ADP
cana-1756	59	11	doing	do	VERB
cana-1756	59	12	eye	eye	NOUN
cana-1756	59	13	gaze	gaze	NOUN
cana-1756	59	14	analysis	analysis	NOUN
cana-1756	59	15	and	and	CCONJ
cana-1756	59	16	elucidates	elucidate	VERB
cana-1756	59	17	communications	communication	NOUN
cana-1756	59	18	on	on	ADP
cana-1756	59	19	applied	apply	VERB
cana-1756	59	20	nonlinear	nonlinear	ADJ
cana-1756	59	21	analysis	analysis	NOUN
cana-1756	59	22	issn	issn	NOUN
cana-1756	59	23	:	:	PUNCT
cana-1756	59	24	1074	1074	NUM
cana-1756	59	25	-	-	PUNCT
cana-1756	59	26	133x	133x	NUM
cana-1756	59	27	vol	vol	NOUN
cana-1756	59	28	32	32	NUM
cana-1756	59	29	no	no	NOUN
cana-1756	59	30	.	.	NOUN
cana-1756	59	31	2	2	NUM
cana-1756	59	32	(	(	PUNCT
cana-1756	59	33	2025	2025	NUM
cana-1756	59	34	)	)	PUNCT
cana-1756	59	35	411	411	NUM
cana-1756	59	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	59	37	the	the	DET
cana-1756	59	38	advantages	advantage	NOUN
cana-1756	59	39	of	of	ADP
cana-1756	59	40	using	use	VERB
cana-1756	59	41	this	this	DET
cana-1756	59	42	technique	technique	NOUN
cana-1756	59	43	for	for	ADP
cana-1756	59	44	the	the	DET
cana-1756	59	45	diagnosis	diagnosis	NOUN
cana-1756	59	46	of	of	ADP
cana-1756	59	47	mental	mental	ADJ
cana-1756	59	48	health	health	NOUN
cana-1756	59	49	conditions	condition	NOUN
cana-1756	59	50	.	.	PUNCT
cana-1756	60	1	it	it	PRON
cana-1756	60	2	is	be	AUX
cana-1756	60	3	possible	possible	ADJ
cana-1756	60	4	that	that	SCONJ
cana-1756	60	5	attentiveness	attentiveness	NOUN
cana-1756	60	6	can	can	AUX
cana-1756	60	7	also	also	ADV
cana-1756	60	8	be	be	AUX
cana-1756	60	9	effective	effective	ADJ
cana-1756	60	10	in	in	ADP
cana-1756	60	11	the	the	DET
cana-1756	60	12	prediction	prediction	NOUN
cana-1756	60	13	of	of	ADP
cana-1756	60	14	mental	mental	ADJ
cana-1756	60	15	problems	problem	NOUN
cana-1756	60	16	.	.	PUNCT
cana-1756	61	1	the	the	DET
cana-1756	61	2	purpose	purpose	NOUN
cana-1756	61	3	of	of	ADP
cana-1756	61	4	this	this	DET
cana-1756	61	5	research	research	NOUN
cana-1756	61	6	is	be	AUX
cana-1756	61	7	to	to	PART
cana-1756	61	8	give	give	VERB
cana-1756	61	9	a	a	DET
cana-1756	61	10	performance	performance	NOUN
cana-1756	61	11	evaluation	evaluation	NOUN
cana-1756	61	12	of	of	ADP
cana-1756	61	13	transfer	transfer	NOUN
cana-1756	61	14	learning	learning	NOUN
cana-1756	61	15	models	model	NOUN
cana-1756	61	16	to	to	PART
cana-1756	61	17	analyze	analyze	VERB
cana-1756	61	18	eye	eye	NOUN
cana-1756	61	19	gazing	gaze	VERB
cana-1756	61	20	.	.	PUNCT
cana-1756	62	1	the	the	DET
cana-1756	62	2	best	well	ADV
cana-1756	62	3	-	-	PUNCT
cana-1756	62	4	performing	perform	VERB
cana-1756	62	5	model	model	NOUN
cana-1756	62	6	is	be	AUX
cana-1756	62	7	inceptionv3	inceptionv3	NOUN
cana-1756	62	8	,	,	PUNCT
cana-1756	62	9	which	which	PRON
cana-1756	62	10	achieved	achieve	VERB
cana-1756	62	11	an	an	DET
cana-1756	62	12	accuracy	accuracy	NOUN
cana-1756	62	13	of	of	ADP
cana-1756	62	14	88	88	NUM
cana-1756	62	15	%	%	NOUN
cana-1756	62	16	when	when	SCONJ
cana-1756	62	17	applied	apply	VERB
cana-1756	62	18	to	to	ADP
cana-1756	62	19	a	a	DET
cana-1756	62	20	dataset	dataset	NOUN
cana-1756	62	21	developed	develop	VERB
cana-1756	62	22	by	by	ADP
cana-1756	62	23	zenodo	zenodo	NOUN
cana-1756	62	24	.	.	PUNCT
cana-1756	63	1	[	[	X
cana-1756	63	2	5	5	NUM
cana-1756	63	3	]	]	SYM
cana-1756	63	4	2022	2022	NUM
cana-1756	63	5	dense	dense	ADJ
cana-1756	63	6	residual	residual	ADJ
cana-1756	63	7	neural	neural	ADJ
cana-1756	63	8	network	network	NOUN
cana-1756	63	9	(	(	PUNCT
cana-1756	63	10	drn	drn	NOUN
cana-1756	63	11	)	)	PUNCT
cana-1756	63	12	bi	bi	ADJ
cana-1756	63	13	-	-	ADJ
cana-1756	63	14	directional	directional	ADJ
cana-1756	63	15	cnn	cnn	PROPN
cana-1756	63	16	,	,	PUNCT
cana-1756	63	17	lstm	lstm	NOUN
cana-1756	63	18	.	.	PUNCT
cana-1756	64	1	combining	combine	VERB
cana-1756	64	2	feature	feature	NOUN
cana-1756	64	3	normalization	normalization	NOUN
cana-1756	64	4	,	,	PUNCT
cana-1756	64	5	deep	deep	ADJ
cana-1756	64	6	learning	learning	NOUN
cana-1756	64	7	algorithms	algorithm	NOUN
cana-1756	64	8	,	,	PUNCT
cana-1756	64	9	and	and	CCONJ
cana-1756	64	10	an	an	DET
cana-1756	64	11	attention	attention	NOUN
cana-1756	64	12	mechanism	mechanism	NOUN
cana-1756	64	13	,	,	PUNCT
cana-1756	64	14	this	this	DET
cana-1756	64	15	study	study	NOUN
cana-1756	64	16	provides	provide	VERB
cana-1756	64	17	an	an	DET
cana-1756	64	18	enhanced	enhance	VERB
cana-1756	64	19	framework	framework	NOUN
cana-1756	64	20	for	for	ADP
cana-1756	64	21	monitoring	monitor	VERB
cana-1756	64	22	tool	tool	NOUN
cana-1756	64	23	wear	wear	VERB
cana-1756	64	24	in	in	ADP
cana-1756	64	25	current	current	ADJ
cana-1756	64	26	production	production	NOUN
cana-1756	64	27	.	.	PUNCT
cana-1756	65	1	this	this	DET
cana-1756	65	2	framework	framework	NOUN
cana-1756	65	3	is	be	AUX
cana-1756	65	4	intended	intend	VERB
cana-1756	65	5	to	to	PART
cana-1756	65	6	be	be	AUX
cana-1756	65	7	used	use	VERB
cana-1756	65	8	in	in	ADP
cana-1756	65	9	modern	modern	ADJ
cana-1756	65	10	production	production	NOUN
cana-1756	65	11	.	.	PUNCT
cana-1756	66	1	while	while	SCONJ
cana-1756	66	2	concurrently	concurrently	ADV
cana-1756	66	3	forecasting	forecast	VERB
cana-1756	66	4	and	and	CCONJ
cana-1756	66	5	monitoring	monitor	VERB
cana-1756	66	6	the	the	DET
cana-1756	66	7	course	course	NOUN
cana-1756	66	8	of	of	ADP
cana-1756	66	9	tool	tool	NOUN
cana-1756	66	10	wear	wear	VERB
cana-1756	66	11	over	over	ADP
cana-1756	66	12	multiple	multiple	ADJ
cana-1756	66	13	steps	step	NOUN
cana-1756	66	14	,	,	PUNCT
cana-1756	66	15	the	the	DET
cana-1756	66	16	goal	goal	NOUN
cana-1756	66	17	is	be	AUX
cana-1756	66	18	to	to	PART
cana-1756	66	19	achieve	achieve	VERB
cana-1756	66	20	this	this	PRON
cana-1756	66	21	.	.	PUNCT
cana-1756	67	1	in	in	ADP
cana-1756	67	2	order	order	NOUN
cana-1756	67	3	to	to	PART
cana-1756	67	4	efficiently	efficiently	ADV
cana-1756	67	5	monitor	monitor	VERB
cana-1756	67	6	tool	tool	NOUN
cana-1756	67	7	conditions	condition	NOUN
cana-1756	67	8	throughout	throughout	ADP
cana-1756	67	9	the	the	DET
cana-1756	67	10	process	process	NOUN
cana-1756	67	11	,	,	PUNCT
cana-1756	67	12	the	the	DET
cana-1756	67	13	system	system	NOUN
cana-1756	67	14	makes	make	VERB
cana-1756	67	15	use	use	NOUN
cana-1756	67	16	of	of	ADP
cana-1756	67	17	a	a	DET
cana-1756	67	18	bi	bi	ADJ
cana-1756	67	19	-	-	ADJ
cana-1756	67	20	directional	directional	ADJ
cana-1756	67	21	long	long	ADJ
cana-1756	67	22	short	short	ADJ
cana-1756	67	23	-	-	PUNCT
cana-1756	67	24	term	term	NOUN
cana-1756	67	25	memory	memory	NOUN
cana-1756	67	26	(	(	PUNCT
cana-1756	67	27	bilstm	bilstm	NOUN
cana-1756	67	28	)	)	PUNCT
cana-1756	67	29	network	network	NOUN
cana-1756	67	30	in	in	ADP
cana-1756	67	31	conjunction	conjunction	NOUN
cana-1756	67	32	with	with	ADP
cana-1756	67	33	a	a	DET
cana-1756	67	34	parallel	parallel	ADJ
cana-1756	67	35	convolutional	convolutional	ADJ
cana-1756	67	36	neural	neural	ADJ
cana-1756	67	37	network	network	NOUN
cana-1756	67	38	(	(	PUNCT
cana-1756	67	39	cnn	cnn	PROPN
cana-1756	67	40	)	)	PUNCT
cana-1756	67	41	.	.	PUNCT
cana-1756	68	1	[	[	X
cana-1756	68	2	6	6	NUM
cana-1756	68	3	]	]	SYM
cana-1756	68	4	2021	2021	NUM
cana-1756	68	5	hybrid	hybrid	NOUN
cana-1756	68	6	of	of	ADP
cana-1756	68	7	cnn	cnn	PROPN
cana-1756	68	8	and	and	CCONJ
cana-1756	68	9	lstm	lstm	NOUN
cana-1756	68	10	with	with	ADP
cana-1756	68	11	residuals	residual	NOUN
cana-1756	68	12	resnet	resnet	VERB
cana-1756	68	13	the	the	DET
cana-1756	68	14	current	current	ADJ
cana-1756	68	15	study	study	NOUN
cana-1756	68	16	suggests	suggest	VERB
cana-1756	68	17	a	a	DET
cana-1756	68	18	deep	deep	ADJ
cana-1756	68	19	learning	learning	NOUN
cana-1756	68	20	model	model	NOUN
cana-1756	68	21	that	that	PRON
cana-1756	68	22	enables	enable	VERB
cana-1756	68	23	the	the	DET
cana-1756	68	24	simultaneous	simultaneous	ADJ
cana-1756	68	25	monitoring	monitoring	NOUN
cana-1756	68	26	and	and	CCONJ
cana-1756	68	27	prediction	prediction	NOUN
cana-1756	68	28	of	of	ADP
cana-1756	68	29	tool	tool	NOUN
cana-1756	68	30	wear	wear	VERB
cana-1756	68	31	during	during	ADP
cana-1756	68	32	the	the	DET
cana-1756	68	33	machining	machining	NOUN
cana-1756	68	34	process	process	NOUN
cana-1756	68	35	.	.	PUNCT
cana-1756	69	1	this	this	DET
cana-1756	69	2	model	model	NOUN
cana-1756	69	3	is	be	AUX
cana-1756	69	4	based	base	VERB
cana-1756	69	5	on	on	ADP
cana-1756	69	6	the	the	DET
cana-1756	69	7	sequence	sequence	NOUN
cana-1756	69	8	to	to	ADP
cana-1756	69	9	sequence	sequence	NOUN
cana-1756	69	10	model	model	NOUN
cana-1756	69	11	with	with	ADP
cana-1756	69	12	attention	attention	NOUN
cana-1756	69	13	and	and	CCONJ
cana-1756	69	14	monotonicity	monotonicity	NOUN
cana-1756	69	15	loss	loss	NOUN
cana-1756	69	16	(	(	PUNCT
cana-1756	69	17	sma	sma	NOUN
cana-1756	69	18	ml	ml	NOUN
cana-1756	69	19	)	)	PUNCT
cana-1756	69	20	.	.	PUNCT
cana-1756	70	1	the	the	DET
cana-1756	70	2	trend	trend	NOUN
cana-1756	70	3	of	of	ADP
cana-1756	70	4	tool	tool	NOUN
cana-1756	70	5	wear	wear	VERB
cana-1756	70	6	degradation	degradation	NOUN
cana-1756	70	7	during	during	ADP
cana-1756	70	8	continuous	continuous	ADJ
cana-1756	70	9	cutting	cutting	NOUN
cana-1756	70	10	is	be	AUX
cana-1756	70	11	not	not	PART
cana-1756	70	12	well	well	ADV
cana-1756	70	13	developed	develop	VERB
cana-1756	70	14	by	by	ADP
cana-1756	70	15	data	datum	NOUN
cana-1756	70	16	-	-	PUNCT
cana-1756	70	17	driven	drive	VERB
cana-1756	70	18	methodologies	methodology	NOUN
cana-1756	70	19	,	,	PUNCT
cana-1756	70	20	and	and	CCONJ
cana-1756	70	21	traditional	traditional	ADJ
cana-1756	70	22	tool	tool	NOUN
cana-1756	70	23	wear	wear	VERB
cana-1756	70	24	monitoring	monitoring	NOUN
cana-1756	70	25	required	require	VERB
cana-1756	70	26	specialist	specialist	ADJ
cana-1756	70	27	knowledge	knowledge	NOUN
cana-1756	70	28	and	and	CCONJ
cana-1756	70	29	arduous	arduous	ADJ
cana-1756	70	30	feature	feature	NOUN
cana-1756	70	31	extraction	extraction	NOUN
cana-1756	70	32	.	.	PUNCT
cana-1756	71	1	[	[	X
cana-1756	71	2	7	7	NUM
cana-1756	71	3	]	]	SYM
cana-1756	71	4	2021	2021	NUM
cana-1756	71	5	autoregressive	autoregressive	ADJ
cana-1756	71	6	integrated	integrated	ADJ
cana-1756	71	7	moving	move	VERB
cana-1756	71	8	average	average	ADJ
cana-1756	71	9	attention	attention	NOUN
cana-1756	71	10	mechanism	mechanism	NOUN
cana-1756	71	11	for	for	ADP
cana-1756	71	12	lstm	lstm	NOUN
cana-1756	71	13	network	network	NOUN
cana-1756	71	14	(	(	PUNCT
cana-1756	71	15	arima	arima	PROPN
cana-1756	71	16	)	)	PUNCT
cana-1756	71	17	in	in	ADP
cana-1756	71	18	order	order	NOUN
cana-1756	71	19	to	to	PART
cana-1756	71	20	detect	detect	VERB
cana-1756	71	21	and	and	CCONJ
cana-1756	71	22	predict	predict	VERB
cana-1756	71	23	tool	tool	NOUN
cana-1756	71	24	wear	wear	VERB
cana-1756	71	25	in	in	ADP
cana-1756	71	26	a	a	DET
cana-1756	71	27	machining	machining	NOUN
cana-1756	71	28	process	process	NOUN
cana-1756	71	29	simultaneously	simultaneously	ADV
cana-1756	71	30	,	,	PUNCT
cana-1756	71	31	this	this	DET
cana-1756	71	32	work	work	NOUN
cana-1756	71	33	developed	develop	VERB
cana-1756	71	34	a	a	DET
cana-1756	71	35	unique	unique	ADJ
cana-1756	71	36	sequence	sequence	NOUN
cana-1756	71	37	-	-	PUNCT
cana-1756	71	38	to	to	ADP
cana-1756	71	39	-	-	PUNCT
cana-1756	71	40	sequence	sequence	NOUN
cana-1756	71	41	model	model	NOUN
cana-1756	71	42	with	with	ADP
cana-1756	71	43	attention	attention	NOUN
cana-1756	71	44	and	and	CCONJ
cana-1756	71	45	monotonicity	monotonicity	NOUN
cana-1756	71	46	loss	loss	NOUN
cana-1756	71	47	(	(	PUNCT
cana-1756	71	48	smaml	smaml	PROPN
cana-1756	71	49	)	)	PUNCT
cana-1756	71	50	under	under	ADP
cana-1756	71	51	deep	deep	ADJ
cana-1756	71	52	learning	learning	NOUN
cana-1756	71	53	.	.	PUNCT
cana-1756	72	1	while	while	SCONJ
cana-1756	72	2	traditional	traditional	ADJ
cana-1756	72	3	tool	tool	NOUN
cana-1756	72	4	wear	wear	VERB
cana-1756	72	5	monitoring	monitoring	NOUN
cana-1756	72	6	has	have	AUX
cana-1756	72	7	required	require	VERB
cana-1756	72	8	specialized	specialized	ADJ
cana-1756	72	9	knowledge	knowledge	NOUN
cana-1756	72	10	and	and	CCONJ
cana-1756	72	11	has	have	AUX
cana-1756	72	12	required	require	VERB
cana-1756	72	13	a	a	DET
cana-1756	72	14	high	high	ADJ
cana-1756	72	15	labor	labor	NOUN
cana-1756	72	16	-	-	PUNCT
cana-1756	72	17	intensive	intensive	ADJ
cana-1756	72	18	feature	feature	NOUN
cana-1756	72	19	extraction	extraction	NOUN
cana-1756	72	20	process	process	NOUN
cana-1756	72	21	,	,	PUNCT
cana-1756	72	22	data	data	NOUN
cana-1756	72	23	-	-	PUNCT
cana-1756	72	24	driven	drive	VERB
cana-1756	72	25	solutions	solution	NOUN
cana-1756	72	26	have	have	AUX
cana-1756	72	27	not	not	PART
cana-1756	72	28	been	be	AUX
cana-1756	72	29	able	able	ADJ
cana-1756	72	30	to	to	PART
cana-1756	72	31	capture	capture	VERB
cana-1756	72	32	the	the	DET
cana-1756	72	33	degradation	degradation	NOUN
cana-1756	72	34	trend	trend	NOUN
cana-1756	72	35	of	of	ADP
cana-1756	72	36	tool	tool	NOUN
cana-1756	72	37	wear	wear	VERB
cana-1756	72	38	under	under	ADP
cana-1756	72	39	continuous	continuous	ADJ
cana-1756	72	40	cutting	cutting	NOUN
cana-1756	72	41	.	.	PUNCT
cana-1756	73	1	within	within	ADP
cana-1756	73	2	the	the	DET
cana-1756	73	3	same	same	ADJ
cana-1756	73	4	framework	framework	NOUN
cana-1756	73	5	for	for	ADP
cana-1756	73	6	sequence	sequence	NOUN
cana-1756	73	7	-	-	PUNCT
cana-1756	73	8	to	to	ADP
cana-1756	73	9	-	-	PUNCT
cana-1756	73	10	sequence	sequence	NOUN
cana-1756	73	11	processing	processing	NOUN
cana-1756	73	12	,	,	PUNCT
cana-1756	73	13	smaml	smaml	PROPN
cana-1756	73	14	is	be	AUX
cana-1756	73	15	an	an	DET
cana-1756	73	16	communications	communication	NOUN
cana-1756	73	17	on	on	ADP
cana-1756	73	18	applied	apply	VERB
cana-1756	73	19	nonlinear	nonlinear	ADJ
cana-1756	73	20	analysis	analysis	NOUN
cana-1756	73	21	issn	issn	NOUN
cana-1756	73	22	:	:	PUNCT
cana-1756	73	23	1074	1074	NUM
cana-1756	73	24	-	-	PUNCT
cana-1756	73	25	133x	133x	NUM
cana-1756	73	26	vol	vol	NOUN
cana-1756	73	27	32	32	NUM
cana-1756	73	28	no	no	NOUN
cana-1756	73	29	.	.	NOUN
cana-1756	73	30	2	2	NUM
cana-1756	73	31	(	(	PUNCT
cana-1756	73	32	2025	2025	NUM
cana-1756	73	33	)	)	PUNCT
cana-1756	73	34	412	412	NUM
cana-1756	73	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	73	36	encoder	encoder	NOUN
cana-1756	73	37	-	-	PUNCT
cana-1756	73	38	decoder	decoder	NOUN
cana-1756	73	39	architecture	architecture	NOUN
cana-1756	73	40	that	that	PRON
cana-1756	73	41	incorporates	incorporate	VERB
cana-1756	73	42	an	an	DET
cana-1756	73	43	additional	additional	ADJ
cana-1756	73	44	loss	loss	NOUN
cana-1756	73	45	function	function	NOUN
cana-1756	73	46	towards	towards	ADP
cana-1756	73	47	monotonicity	monotonicity	NOUN
cana-1756	73	48	and	and	CCONJ
cana-1756	73	49	an	an	DET
cana-1756	73	50	integrated	integrated	ADJ
cana-1756	73	51	attention	attention	NOUN
cana-1756	73	52	mechanism	mechanism	NOUN
cana-1756	73	53	.	.	PUNCT
cana-1756	74	1	these	these	DET
cana-1756	74	2	assist	assist	NOUN
cana-1756	74	3	in	in	ADP
cana-1756	74	4	lowering	lower	VERB
cana-1756	74	5	maintenance	maintenance	NOUN
cana-1756	74	6	costs	cost	NOUN
cana-1756	74	7	,	,	PUNCT
cana-1756	74	8	improving	improve	VERB
cana-1756	74	9	tool	tool	NOUN
cana-1756	74	10	wear	wear	VERB
cana-1756	74	11	monitoring	monitoring	NOUN
cana-1756	74	12	,	,	PUNCT
cana-1756	74	13	and	and	CCONJ
cana-1756	74	14	determining	determine	VERB
cana-1756	74	15	whether	whether	SCONJ
cana-1756	74	16	to	to	PART
cana-1756	74	17	replace	replace	VERB
cana-1756	74	18	tools	tool	NOUN
cana-1756	74	19	early	early	ADV
cana-1756	74	20	on	on	ADV
cana-1756	74	21	.	.	PUNCT
cana-1756	75	1	it	it	PRON
cana-1756	75	2	also	also	ADV
cana-1756	75	3	highlights	highlight	VERB
cana-1756	75	4	the	the	DET
cana-1756	75	5	interpretability	interpretability	NOUN
cana-1756	75	6	and	and	CCONJ
cana-1756	75	7	clarity	clarity	NOUN
cana-1756	75	8	of	of	ADP
cana-1756	75	9	the	the	DET
cana-1756	75	10	linkages	linkage	NOUN
cana-1756	75	11	between	between	ADP
cana-1756	75	12	tasks	task	NOUN
cana-1756	75	13	in	in	ADP
cana-1756	75	14	terms	term	NOUN
cana-1756	75	15	of	of	ADP
cana-1756	75	16	tool	tool	NOUN
cana-1756	75	17	use	use	NOUN
cana-1756	75	18	and	and	CCONJ
cana-1756	75	19	sensor	sensor	NOUN
cana-1756	75	20	signal	signal	NOUN
cana-1756	75	21	interpretation	interpretation	NOUN
cana-1756	75	22	.	.	PUNCT
cana-1756	76	1	[	[	X
cana-1756	76	2	8	8	NUM
cana-1756	76	3	]	]	SYM
cana-1756	76	4	2020	2020	NUM
cana-1756	76	5	cnn	cnn	PROPN
cana-1756	76	6	rnn	rnn	VERB
cana-1756	76	7	this	this	DET
cana-1756	76	8	study	study	NOUN
cana-1756	76	9	emphasizes	emphasize	VERB
cana-1756	76	10	how	how	SCONJ
cana-1756	76	11	crucial	crucial	ADJ
cana-1756	76	12	it	it	PRON
cana-1756	76	13	is	be	AUX
cana-1756	76	14	to	to	PART
cana-1756	76	15	create	create	VERB
cana-1756	76	16	automated	automate	VERB
cana-1756	76	17	facial	facial	ADJ
cana-1756	76	18	expression	expression	NOUN
cana-1756	76	19	recognition	recognition	NOUN
cana-1756	76	20	(	(	PUNCT
cana-1756	76	21	fer	fer	PROPN
cana-1756	76	22	)	)	PUNCT
cana-1756	76	23	systems	system	NOUN
cana-1756	76	24	in	in	ADP
cana-1756	76	25	order	order	NOUN
cana-1756	76	26	to	to	PART
cana-1756	76	27	comprehend	comprehend	VERB
cana-1756	76	28	human	human	ADJ
cana-1756	76	29	emotions	emotion	NOUN
cana-1756	76	30	more	more	ADV
cana-1756	76	31	fully	fully	ADV
cana-1756	76	32	.	.	PUNCT
cana-1756	77	1	it	it	PRON
cana-1756	77	2	highlights	highlight	VERB
cana-1756	77	3	the	the	DET
cana-1756	77	4	uses	use	NOUN
cana-1756	77	5	of	of	ADP
cana-1756	77	6	automated	automate	VERB
cana-1756	77	7	fer	fer	PROPN
cana-1756	77	8	systems	system	NOUN
cana-1756	77	9	,	,	PUNCT
cana-1756	77	10	especially	especially	ADV
cana-1756	77	11	in	in	ADP
cana-1756	77	12	the	the	DET
cana-1756	77	13	realm	realm	NOUN
cana-1756	77	14	of	of	ADP
cana-1756	77	15	medicine	medicine	NOUN
cana-1756	77	16	and	and	CCONJ
cana-1756	77	17	human	human	ADJ
cana-1756	77	18	-	-	PUNCT
cana-1756	77	19	machine	machine	NOUN
cana-1756	77	20	interactions	interaction	NOUN
cana-1756	77	21	.	.	PUNCT
cana-1756	78	1	the	the	DET
cana-1756	78	2	article	article	NOUN
cana-1756	78	3	references	reference	VERB
cana-1756	78	4	more	more	ADV
cana-1756	78	5	recent	recent	ADJ
cana-1756	78	6	publications	publication	NOUN
cana-1756	78	7	that	that	PRON
cana-1756	78	8	use	use	VERB
cana-1756	78	9	deep	deep	ADJ
cana-1756	78	10	learning	learning	NOUN
cana-1756	78	11	techniques	technique	NOUN
cana-1756	78	12	,	,	PUNCT
cana-1756	78	13	notably	notably	ADV
cana-1756	78	14	convolutional	convolutional	ADJ
cana-1756	78	15	neural	neural	ADJ
cana-1756	78	16	networks	network	NOUN
cana-1756	78	17	(	(	PUNCT
cana-1756	78	18	cnn	cnn	PROPN
cana-1756	78	19	)	)	PUNCT
cana-1756	78	20	,	,	PUNCT
cana-1756	78	21	for	for	ADP
cana-1756	78	22	fer	fer	PROPN
cana-1756	78	23	,	,	PUNCT
cana-1756	78	24	and	and	CCONJ
cana-1756	78	25	gives	give	VERB
cana-1756	78	26	a	a	DET
cana-1756	78	27	brief	brief	ADJ
cana-1756	78	28	summary	summary	NOUN
cana-1756	78	29	of	of	ADP
cana-1756	78	30	historical	historical	ADJ
cana-1756	78	31	fer	fer	PROPN
cana-1756	78	32	research	research	PROPN
cana-1756	78	33	.	.	PUNCT
cana-1756	79	1	the	the	DET
cana-1756	79	2	main	main	ADJ
cana-1756	79	3	goal	goal	NOUN
cana-1756	79	4	is	be	AUX
cana-1756	79	5	to	to	PART
cana-1756	79	6	provide	provide	VERB
cana-1756	79	7	an	an	DET
cana-1756	79	8	overview	overview	NOUN
cana-1756	79	9	of	of	ADP
cana-1756	79	10	the	the	DET
cana-1756	79	11	most	most	ADV
cana-1756	79	12	recent	recent	ADJ
cana-1756	79	13	deep	deep	ADJ
cana-1756	79	14	learning	learning	NOUN
cana-1756	79	15	ideas	idea	NOUN
cana-1756	79	16	and	and	CCONJ
cana-1756	79	17	techniques	technique	NOUN
cana-1756	79	18	within	within	ADP
cana-1756	79	19	the	the	DET
cana-1756	79	20	framework	framework	NOUN
cana-1756	79	21	of	of	ADP
cana-1756	79	22	fer	fer	PROPN
cana-1756	79	23	.	.	PUNCT
cana-1756	80	1	[	[	X
cana-1756	80	2	9	9	NUM
cana-1756	80	3	]	]	SYM
cana-1756	80	4	2020	2020	NUM
cana-1756	80	5	bidirectional	bidirectional	ADJ
cana-1756	80	6	lstm	lstm	NOUN
cana-1756	80	7	network	network	NOUN
cana-1756	80	8	using	use	VERB
cana-1756	80	9	cnn	cnn	PROPN
cana-1756	80	10	(	(	PUNCT
cana-1756	80	11	bilstm	bilstm	NOUN
cana-1756	80	12	)	)	PUNCT
cana-1756	80	13	techniques	technique	NOUN
cana-1756	80	14	for	for	ADP
cana-1756	80	15	attention	attention	NOUN
cana-1756	80	16	mechanism	mechanism	NOUN
cana-1756	80	17	through	through	ADP
cana-1756	80	18	the	the	DET
cana-1756	80	19	use	use	NOUN
cana-1756	80	20	of	of	ADP
cana-1756	80	21	deep	deep	ADJ
cana-1756	80	22	learning	learning	NOUN
cana-1756	80	23	,	,	PUNCT
cana-1756	80	24	the	the	DET
cana-1756	80	25	project	project	NOUN
cana-1756	80	26	is	be	AUX
cana-1756	80	27	intended	intend	VERB
cana-1756	80	28	to	to	PART
cana-1756	80	29	monitor	monitor	VERB
cana-1756	80	30	hydraulic	hydraulic	ADJ
cana-1756	80	31	systems	system	NOUN
cana-1756	80	32	that	that	PRON
cana-1756	80	33	are	be	AUX
cana-1756	80	34	located	locate	VERB
cana-1756	80	35	in	in	ADP
cana-1756	80	36	manufacturing	manufacturing	NOUN
cana-1756	80	37	facilities	facility	NOUN
cana-1756	80	38	.	.	PUNCT
cana-1756	81	1	jittering	jittere	VERB
cana-1756	81	2	and	and	CCONJ
cana-1756	81	3	scaling	scaling	NOUN
cana-1756	81	4	are	be	AUX
cana-1756	81	5	two	two	NUM
cana-1756	81	6	examples	example	NOUN
cana-1756	81	7	of	of	ADP
cana-1756	81	8	data	datum	NOUN
cana-1756	81	9	augmentation	augmentation	NOUN
cana-1756	81	10	techniques	technique	NOUN
cana-1756	81	11	that	that	PRON
cana-1756	81	12	are	be	AUX
cana-1756	81	13	utilized	utilize	VERB
cana-1756	81	14	in	in	ADP
cana-1756	81	15	order	order	NOUN
cana-1756	81	16	to	to	PART
cana-1756	81	17	address	address	VERB
cana-1756	81	18	the	the	DET
cana-1756	81	19	issue	issue	NOUN
cana-1756	81	20	of	of	ADP
cana-1756	81	21	insufficient	insufficient	ADJ
cana-1756	81	22	availability	availability	NOUN
cana-1756	81	23	of	of	ADP
cana-1756	81	24	the	the	DET
cana-1756	81	25	necessary	necessary	ADJ
cana-1756	81	26	data	datum	NOUN
cana-1756	81	27	.	.	PUNCT
cana-1756	82	1	for	for	ADP
cana-1756	82	2	the	the	DET
cana-1756	82	3	purpose	purpose	NOUN
cana-1756	82	4	of	of	ADP
cana-1756	82	5	real	real	ADJ
cana-1756	82	6	-	-	PUNCT
cana-1756	82	7	time	time	NOUN
cana-1756	82	8	monitoring	monitoring	NOUN
cana-1756	82	9	,	,	PUNCT
cana-1756	82	10	the	the	DET
cana-1756	82	11	model	model	NOUN
cana-1756	82	12	that	that	PRON
cana-1756	82	13	is	be	AUX
cana-1756	82	14	suggested	suggest	VERB
cana-1756	82	15	in	in	ADP
cana-1756	82	16	this	this	DET
cana-1756	82	17	study	study	NOUN
cana-1756	82	18	incorporates	incorporate	VERB
cana-1756	82	19	an	an	DET
cana-1756	82	20	attention	attention	NOUN
cana-1756	82	21	mechanism	mechanism	NOUN
cana-1756	82	22	into	into	ADP
cana-1756	82	23	a	a	DET
cana-1756	82	24	bidirectional	bidirectional	ADJ
cana-1756	82	25	long	long	ADJ
cana-1756	82	26	shortterm	shortterm	NOUN
cana-1756	82	27	memory	memory	NOUN
cana-1756	82	28	network	network	NOUN
cana-1756	82	29	(	(	PUNCT
cana-1756	82	30	bilstm	bilstm	NOUN
cana-1756	82	31	)	)	PUNCT
cana-1756	82	32	,	,	PUNCT
cana-1756	82	33	a	a	DET
cana-1756	82	34	convolutional	convolutional	ADJ
cana-1756	82	35	neural	neural	ADJ
cana-1756	82	36	network	network	NOUN
cana-1756	82	37	(	(	PUNCT
cana-1756	82	38	cnn	cnn	PROPN
cana-1756	82	39	)	)	PUNCT
cana-1756	82	40	,	,	PUNCT
cana-1756	82	41	and	and	CCONJ
cana-1756	82	42	both	both	PRON
cana-1756	82	43	of	of	ADP
cana-1756	82	44	these	these	DET
cana-1756	82	45	networks	network	NOUN
cana-1756	82	46	.	.	PUNCT
cana-1756	83	1	the	the	DET
cana-1756	83	2	findings	finding	NOUN
cana-1756	83	3	demonstrate	demonstrate	VERB
cana-1756	83	4	that	that	SCONJ
cana-1756	83	5	the	the	DET
cana-1756	83	6	model	model	NOUN
cana-1756	83	7	is	be	AUX
cana-1756	83	8	efficient	efficient	ADJ
cana-1756	83	9	in	in	ADP
cana-1756	83	10	the	the	DET
cana-1756	83	11	monitoring	monitoring	NOUN
cana-1756	83	12	of	of	ADP
cana-1756	83	13	the	the	DET
cana-1756	83	14	conditions	condition	NOUN
cana-1756	83	15	of	of	ADP
cana-1756	83	16	hydraulic	hydraulic	ADJ
cana-1756	83	17	systems	system	NOUN
cana-1756	83	18	,	,	PUNCT
cana-1756	83	19	which	which	PRON
cana-1756	83	20	are	be	AUX
cana-1756	83	21	necessary	necessary	ADJ
cana-1756	83	22	for	for	ADP
cana-1756	83	23	industrial	industrial	ADJ
cana-1756	83	24	applications	application	NOUN
cana-1756	83	25	in	in	ADP
cana-1756	83	26	situations	situation	NOUN
cana-1756	83	27	when	when	SCONJ
cana-1756	83	28	there	there	PRON
cana-1756	83	29	is	be	VERB
cana-1756	83	30	a	a	DET
cana-1756	83	31	lack	lack	NOUN
cana-1756	83	32	of	of	ADP
cana-1756	83	33	complete	complete	ADJ
cana-1756	83	34	data	datum	NOUN
cana-1756	83	35	.	.	PUNCT
cana-1756	84	1	[	[	X
cana-1756	84	2	10	10	NUM
cana-1756	84	3	]	]	SYM
cana-1756	84	4	2020	2020	NUM
cana-1756	84	5	cnns	cnns	PROPN
cana-1756	84	6	:	:	PUNCT
cana-1756	84	7	nonconvex	nonconvex	NOUN
cana-1756	84	8	optimization	optimization	NOUN
cana-1756	84	9	hybrid	hybrid	NOUN
cana-1756	84	10	approach	approach	NOUN
cana-1756	84	11	the	the	DET
cana-1756	84	12	project	project	NOUN
cana-1756	84	13	intends	intend	VERB
cana-1756	84	14	to	to	PART
cana-1756	84	15	produce	produce	VERB
cana-1756	84	16	an	an	DET
cana-1756	84	17	eye	eye	NOUN
cana-1756	84	18	-	-	PUNCT
cana-1756	84	19	tracking	track	VERB
cana-1756	84	20	device	device	NOUN
cana-1756	84	21	based	base	VERB
cana-1756	84	22	on	on	ADP
cana-1756	84	23	a	a	DET
cana-1756	84	24	smartphone	smartphone	NOUN
cana-1756	84	25	.	.	PUNCT
cana-1756	85	1	in	in	ADP
cana-1756	85	2	order	order	NOUN
cana-1756	85	3	to	to	PART
cana-1756	85	4	reliably	reliably	ADV
cana-1756	85	5	track	track	VERB
cana-1756	85	6	gaze	gaze	NOUN
cana-1756	85	7	,	,	PUNCT
cana-1756	85	8	calibration	calibration	NOUN
cana-1756	85	9	use	use	VERB
cana-1756	85	10	convolutional	convolutional	ADJ
cana-1756	85	11	neural	neural	ADJ
cana-1756	85	12	networks	network	NOUN
cana-1756	85	13	(	(	PUNCT
cana-1756	85	14	cnns	cnns	PROPN
cana-1756	85	15	)	)	PUNCT
cana-1756	85	16	in	in	ADP
cana-1756	85	17	conjunction	conjunction	NOUN
cana-1756	85	18	with	with	ADP
cana-1756	85	19	a	a	DET
cana-1756	85	20	geometric	geometric	ADJ
cana-1756	85	21	gaze	gaze	NOUN
cana-1756	85	22	estimation	estimation	NOUN
cana-1756	85	23	approach	approach	NOUN
cana-1756	85	24	to	to	PART
cana-1756	85	25	extract	extract	VERB
cana-1756	85	26	features	feature	NOUN
cana-1756	85	27	.	.	PUNCT
cana-1756	86	1	the	the	DET
cana-1756	86	2	estimation	estimation	NOUN
cana-1756	86	3	of	of	ADP
cana-1756	86	4	user	user	NOUN
cana-1756	86	5	-	-	PUNCT
cana-1756	86	6	specific	specific	ADJ
cana-1756	86	7	properties	property	NOUN
cana-1756	86	8	of	of	ADP
cana-1756	86	9	the	the	DET
cana-1756	86	10	eye	eye	NOUN
cana-1756	86	11	is	be	AUX
cana-1756	86	12	communications	communication	NOUN
cana-1756	86	13	on	on	ADP
cana-1756	86	14	applied	apply	VERB
cana-1756	86	15	nonlinear	nonlinear	ADJ
cana-1756	86	16	analysis	analysis	NOUN
cana-1756	86	17	issn	issn	NOUN
cana-1756	86	18	:	:	PUNCT
cana-1756	86	19	1074	1074	NUM
cana-1756	86	20	-	-	PUNCT
cana-1756	86	21	133x	133x	NUM
cana-1756	86	22	vol	vol	NOUN
cana-1756	86	23	32	32	NUM
cana-1756	86	24	no	no	NOUN
cana-1756	86	25	.	.	NOUN
cana-1756	86	26	2	2	NUM
cana-1756	86	27	(	(	PUNCT
cana-1756	86	28	2025	2025	NUM
cana-1756	86	29	)	)	PUNCT
cana-1756	86	30	413	413	NUM
cana-1756	86	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	86	32	done	do	VERB
cana-1756	86	33	by	by	ADP
cana-1756	86	34	a	a	DET
cana-1756	86	35	nonconvex	nonconvex	NOUN
cana-1756	86	36	optimisation	optimisation	NOUN
cana-1756	86	37	approach	approach	NOUN
cana-1756	86	38	during	during	ADP
cana-1756	86	39	the	the	DET
cana-1756	86	40	calibration	calibration	NOUN
cana-1756	86	41	phase	phase	NOUN
cana-1756	86	42	.	.	PUNCT
cana-1756	87	1	privacy	privacy	NOUN
cana-1756	87	2	problems	problem	NOUN
cana-1756	87	3	accompany	accompany	VERB
cana-1756	87	4	the	the	DET
cana-1756	87	5	widespread	widespread	ADJ
cana-1756	87	6	usage	usage	NOUN
cana-1756	87	7	of	of	ADP
cana-1756	87	8	mobile	mobile	ADJ
cana-1756	87	9	eye	eye	NOUN
cana-1756	87	10	tracking	tracking	NOUN
cana-1756	87	11	,	,	PUNCT
cana-1756	87	12	despite	despite	SCONJ
cana-1756	87	13	the	the	DET
cana-1756	87	14	overarching	overarching	ADJ
cana-1756	87	15	goal	goal	NOUN
cana-1756	87	16	of	of	ADP
cana-1756	87	17	making	make	VERB
cana-1756	87	18	it	it	PRON
cana-1756	87	19	accessible	accessible	ADJ
cana-1756	87	20	to	to	ADP
cana-1756	87	21	all	all	PRON
cana-1756	87	22	.	.	PUNCT
cana-1756	88	1	the	the	DET
cana-1756	88	2	study	study	NOUN
cana-1756	88	3	evaluates	evaluate	VERB
cana-1756	88	4	the	the	DET
cana-1756	88	5	system	system	NOUN
cana-1756	88	6	with	with	ADP
cana-1756	88	7	the	the	DET
cana-1756	88	8	goal	goal	NOUN
cana-1756	88	9	of	of	ADP
cana-1756	88	10	reducing	reduce	VERB
cana-1756	88	11	gaze	gaze	NOUN
cana-1756	88	12	estimate	estimate	NOUN
cana-1756	88	13	bias	bias	NOUN
cana-1756	88	14	.	.	PUNCT
cana-1756	89	1	[	[	X
cana-1756	89	2	11	11	NUM
cana-1756	89	3	]	]	SYM
cana-1756	89	4	2020	2020	NUM
cana-1756	89	5	spatio	spatio	PROPN
cana-1756	89	6	-	-	PUNCT
cana-1756	89	7	temporal	temporal	ADJ
cana-1756	89	8	cnn	cnn	PROPN
cana-1756	89	9	gru	gru	PROPN
cana-1756	89	10	cell	cell	PROPN
cana-1756	89	11	rnn	rnn	VERB
cana-1756	89	12	in	in	ADP
cana-1756	89	13	this	this	DET
cana-1756	89	14	paper	paper	NOUN
cana-1756	89	15	,	,	PUNCT
cana-1756	89	16	two	two	NUM
cana-1756	89	17	widely	widely	ADV
cana-1756	89	18	used	use	VERB
cana-1756	89	19	deep	deep	ADJ
cana-1756	89	20	neural	neural	ADJ
cana-1756	89	21	network	network	NOUN
cana-1756	89	22	models	model	NOUN
cana-1756	89	23	are	be	AUX
cana-1756	89	24	used	use	VERB
cana-1756	89	25	to	to	PART
cana-1756	89	26	address	address	VERB
cana-1756	89	27	the	the	DET
cana-1756	89	28	issue	issue	NOUN
cana-1756	89	29	of	of	ADP
cana-1756	89	30	the	the	DET
cana-1756	89	31	"	"	PUNCT
cana-1756	89	32	speaking	speaking	ADJ
cana-1756	89	33	effect	effect	NOUN
cana-1756	89	34	,	,	PUNCT
cana-1756	89	35	"	"	PUNCT
cana-1756	89	36	a	a	DET
cana-1756	89	37	phenomenon	phenomenon	NOUN
cana-1756	89	38	in	in	ADP
cana-1756	89	39	which	which	DET
cana-1756	89	40	articulation	articulation	NOUN
cana-1756	89	41	of	of	ADP
cana-1756	89	42	the	the	DET
cana-1756	89	43	voice	voice	NOUN
cana-1756	89	44	during	during	ADP
cana-1756	89	45	discussions	discussion	NOUN
cana-1756	89	46	impacts	impact	VERB
cana-1756	89	47	the	the	DET
cana-1756	89	48	perception	perception	NOUN
cana-1756	89	49	of	of	ADP
cana-1756	89	50	the	the	DET
cana-1756	89	51	face	face	NOUN
cana-1756	89	52	's	's	PART
cana-1756	89	53	expression	expression	NOUN
cana-1756	89	54	.	.	PUNCT
cana-1756	90	1	the	the	DET
cana-1756	90	2	spatio	spatio	PROPN
cana-1756	90	3	-	-	PUNCT
cana-1756	90	4	temporal	temporal	ADJ
cana-1756	90	5	cnn	cnn	PROPN
cana-1756	90	6	and	and	CCONJ
cana-1756	90	7	the	the	DET
cana-1756	90	8	gru	gru	NOUN
cana-1756	90	9	cell	cell	NOUN
cana-1756	90	10	rnn	rnn	NOUN
cana-1756	90	11	are	be	AUX
cana-1756	90	12	these	these	DET
cana-1756	90	13	models	model	NOUN
cana-1756	90	14	.	.	PUNCT
cana-1756	91	1	in	in	ADP
cana-1756	91	2	the	the	DET
cana-1756	91	3	first	first	ADJ
cana-1756	91	4	case	case	NOUN
cana-1756	91	5	,	,	PUNCT
cana-1756	91	6	these	these	DET
cana-1756	91	7	models	model	NOUN
cana-1756	91	8	are	be	AUX
cana-1756	91	9	trained	train	VERB
cana-1756	91	10	solely	solely	ADV
cana-1756	91	11	on	on	ADP
cana-1756	91	12	facial	facial	ADJ
cana-1756	91	13	features	feature	NOUN
cana-1756	91	14	;	;	PUNCT
cana-1756	91	15	in	in	ADP
cana-1756	91	16	the	the	DET
cana-1756	91	17	second	second	ADJ
cana-1756	91	18	case	case	NOUN
cana-1756	91	19	,	,	PUNCT
cana-1756	91	20	they	they	PRON
cana-1756	91	21	are	be	AUX
cana-1756	91	22	trained	train	VERB
cana-1756	91	23	on	on	ADP
cana-1756	91	24	both	both	CCONJ
cana-1756	91	25	facial	facial	ADJ
cana-1756	91	26	traits	trait	NOUN
cana-1756	91	27	and	and	CCONJ
cana-1756	91	28	indicators	indicator	NOUN
cana-1756	91	29	associated	associate	VERB
cana-1756	91	30	with	with	ADP
cana-1756	91	31	speech	speech	NOUN
cana-1756	91	32	articulation	articulation	NOUN
cana-1756	91	33	.	.	PUNCT
cana-1756	92	1	however	however	ADV
cana-1756	92	2	,	,	PUNCT
cana-1756	92	3	it	it	PRON
cana-1756	92	4	has	have	AUX
cana-1756	92	5	been	be	AUX
cana-1756	92	6	demonstrated	demonstrate	VERB
cana-1756	92	7	that	that	PRON
cana-1756	92	8	include	include	VERB
cana-1756	92	9	articulatory	articulatory	NOUN
cana-1756	92	10	-	-	PUNCT
cana-1756	92	11	related	relate	VERB
cana-1756	92	12	variables	variable	NOUN
cana-1756	92	13	can	can	AUX
cana-1756	92	14	improve	improve	VERB
cana-1756	92	15	accuracy	accuracy	NOUN
cana-1756	92	16	in	in	ADP
cana-1756	92	17	determining	determine	VERB
cana-1756	92	18	emotion	emotion	NOUN
cana-1756	92	19	by	by	ADP
cana-1756	92	20	up	up	ADP
cana-1756	92	21	to	to	PART
cana-1756	92	22	12	12	NUM
cana-1756	92	23	%	%	NOUN
cana-1756	92	24	.	.	PUNCT
cana-1756	93	1	additionally	additionally	ADV
cana-1756	93	2	,	,	PUNCT
cana-1756	93	3	models	model	NOUN
cana-1756	93	4	show	show	VERB
cana-1756	93	5	increased	increase	VERB
cana-1756	93	6	accuracy	accuracy	NOUN
cana-1756	93	7	with	with	ADP
cana-1756	93	8	increasing	increase	VERB
cana-1756	93	9	numbers	number	NOUN
cana-1756	93	10	of	of	ADP
cana-1756	93	11	consecutive	consecutive	ADJ
cana-1756	93	12	input	input	NOUN
cana-1756	93	13	frames	frame	NOUN
cana-1756	93	14	.	.	PUNCT
cana-1756	94	1	[	[	X
cana-1756	94	2	12	12	NUM
cana-1756	94	3	]	]	SYM
cana-1756	94	4	2018	2018	NUM
cana-1756	94	5	cdae	cdae	NOUN
cana-1756	94	6	-	-	PUNCT
cana-1756	94	7	cnn	cnn	NOUN
cana-1756	94	8	dvae	dvae	PROPN
cana-1756	94	9	-	-	PUNCT
cana-1756	94	10	cnn	cnn	PROPN
cana-1756	94	11	dae	dae	PROPN
cana-1756	94	12	-	-	PUNCT
cana-1756	94	13	cnn	cnn	PROPN
cana-1756	94	14	the	the	DET
cana-1756	94	15	current	current	ADJ
cana-1756	94	16	study	study	NOUN
cana-1756	94	17	took	take	VERB
cana-1756	94	18	hybrid	hybrid	ADJ
cana-1756	94	19	model	model	NOUN
cana-1756	94	20	categorization	categorization	NOUN
cana-1756	94	21	of	of	ADP
cana-1756	94	22	noisy	noisy	ADJ
cana-1756	94	23	images	image	NOUN
cana-1756	94	24	into	into	ADP
cana-1756	94	25	consideration	consideration	NOUN
cana-1756	94	26	.	.	PUNCT
cana-1756	95	1	in	in	ADP
cana-1756	95	2	contrast	contrast	NOUN
cana-1756	95	3	to	to	ADP
cana-1756	95	4	the	the	DET
cana-1756	95	5	previous	previous	ADJ
cana-1756	95	6	type	type	NOUN
cana-1756	95	7	of	of	ADP
cana-1756	95	8	network	network	NOUN
cana-1756	95	9	convolutional	convolutional	ADJ
cana-1756	95	10	denoising	denoising	NOUN
cana-1756	95	11	autoencoders	autoencoder	NOUN
cana-1756	95	12	(	(	PUNCT
cana-1756	95	13	cdae	cdae	NOUN
cana-1756	95	14	)	)	PUNCT
cana-1756	95	15	,	,	PUNCT
cana-1756	95	16	it	it	PRON
cana-1756	95	17	employs	employ	VERB
cana-1756	95	18	denoising	denoise	VERB
cana-1756	95	19	variational	variational	ADJ
cana-1756	95	20	autoencoders	autoencoder	NOUN
cana-1756	95	21	(	(	PUNCT
cana-1756	95	22	dvae	dvae	NOUN
cana-1756	95	23	)	)	PUNCT
cana-1756	95	24	in	in	ADP
cana-1756	95	25	conjunction	conjunction	NOUN
cana-1756	95	26	with	with	ADP
cana-1756	95	27	denoising	denoising	NOUN
cana-1756	95	28	autoencoders	autoencoder	NOUN
cana-1756	95	29	(	(	PUNCT
cana-1756	95	30	dae	dae	NOUN
cana-1756	95	31	)	)	PUNCT
cana-1756	95	32	.	.	PUNCT
cana-1756	96	1	compared	compare	VERB
cana-1756	96	2	to	to	ADP
cana-1756	96	3	earlier	early	ADJ
cana-1756	96	4	methods	method	NOUN
cana-1756	96	5	,	,	PUNCT
cana-1756	96	6	these	these	DET
cana-1756	96	7	hybrid	hybrid	ADJ
cana-1756	96	8	models	model	NOUN
cana-1756	96	9	perform	perform	VERB
cana-1756	96	10	better	well	ADV
cana-1756	96	11	in	in	ADP
cana-1756	96	12	noisy	noisy	ADJ
cana-1756	96	13	image	image	NOUN
cana-1756	96	14	classification	classification	NOUN
cana-1756	96	15	,	,	PUNCT
cana-1756	96	16	particularly	particularly	ADV
cana-1756	96	17	if	if	SCONJ
cana-1756	96	18	they	they	PRON
cana-1756	96	19	were	be	AUX
cana-1756	96	20	built	build	VERB
cana-1756	96	21	with	with	ADP
cana-1756	96	22	minimal	minimal	ADJ
cana-1756	96	23	noise	noise	NOUN
cana-1756	96	24	.	.	PUNCT
cana-1756	97	1	when	when	SCONJ
cana-1756	97	2	it	it	PRON
cana-1756	97	3	came	come	VERB
cana-1756	97	4	to	to	ADP
cana-1756	97	5	photos	photo	NOUN
cana-1756	97	6	with	with	ADP
cana-1756	97	7	regular	regular	ADJ
cana-1756	97	8	noise	noise	NOUN
cana-1756	97	9	,	,	PUNCT
cana-1756	97	10	the	the	DET
cana-1756	97	11	dvae	dvae	NOUN
cana-1756	97	12	-	-	PUNCT
cana-1756	97	13	cnn	cnn	PROPN
cana-1756	97	14	model	model	NOUN
cana-1756	97	15	did	do	VERB
cana-1756	97	16	well	well	ADV
cana-1756	97	17	;	;	PUNCT
cana-1756	97	18	but	but	CCONJ
cana-1756	97	19	,	,	PUNCT
cana-1756	97	20	when	when	SCONJ
cana-1756	97	21	it	it	PRON
cana-1756	97	22	came	come	VERB
cana-1756	97	23	to	to	ADP
cana-1756	97	24	images	image	NOUN
cana-1756	97	25	with	with	ADP
cana-1756	97	26	excessive	excessive	ADJ
cana-1756	97	27	noise	noise	NOUN
cana-1756	97	28	,	,	PUNCT
cana-1756	97	29	the	the	DET
cana-1756	97	30	dvae	dvae	NOUN
cana-1756	97	31	-	-	PUNCT
cana-1756	97	32	cdae	cdae	NOUN
cana-1756	97	33	-	-	PUNCT
cana-1756	97	34	cnn	cnn	PROPN
cana-1756	97	35	model	model	NOUN
cana-1756	97	36	performed	perform	VERB
cana-1756	97	37	even	even	ADV
cana-1756	97	38	better	well	ADV
cana-1756	97	39	.	.	PUNCT
cana-1756	98	1	this	this	DET
cana-1756	98	2	hybrid	hybrid	ADJ
cana-1756	98	3	method	method	NOUN
cana-1756	98	4	enhanced	enhance	VERB
cana-1756	98	5	the	the	DET
cana-1756	98	6	classification	classification	NOUN
cana-1756	98	7	of	of	ADP
cana-1756	98	8	noisy	noisy	ADJ
cana-1756	98	9	images	image	NOUN
cana-1756	98	10	by	by	ADP
cana-1756	98	11	using	use	VERB
cana-1756	98	12	cnns	cnn	NOUN
cana-1756	98	13	and	and	CCONJ
cana-1756	98	14	autoencoders	autoencoder	NOUN
cana-1756	98	15	.	.	PUNCT
cana-1756	99	1	[	[	X
cana-1756	99	2	13	13	NUM
cana-1756	99	3	]	]	SYM
cana-1756	99	4	2017	2017	NUM
cana-1756	99	5	cnn	cnn	NOUN
cana-1756	99	6	this	this	DET
cana-1756	99	7	study	study	NOUN
cana-1756	99	8	investigates	investigate	VERB
cana-1756	99	9	the	the	DET
cana-1756	99	10	challenging	challenging	ADJ
cana-1756	99	11	task	task	NOUN
cana-1756	99	12	of	of	ADP
cana-1756	99	13	facial	facial	ADJ
cana-1756	99	14	emotion	emotion	NOUN
cana-1756	99	15	recognition	recognition	NOUN
cana-1756	99	16	in	in	ADP
cana-1756	99	17	computer	computer	NOUN
cana-1756	99	18	vision	vision	NOUN
cana-1756	99	19	using	use	VERB
cana-1756	99	20	a	a	DET
cana-1756	99	21	convolutional	convolutional	ADJ
cana-1756	99	22	neural	neural	ADJ
cana-1756	99	23	network	network	NOUN
cana-1756	99	24	(	(	PUNCT
cana-1756	99	25	cnn	cnn	PROPN
cana-1756	99	26	)	)	PUNCT
cana-1756	99	27	.	.	PUNCT
cana-1756	100	1	after	after	ADP
cana-1756	100	2	making	make	VERB
cana-1756	100	3	adjustments	adjustment	NOUN
cana-1756	100	4	to	to	ADP
cana-1756	100	5	the	the	DET
cana-1756	100	6	architecture	architecture	NOUN
cana-1756	100	7	using	use	VERB
cana-1756	100	8	the	the	DET
cana-1756	100	9	visual	visual	ADJ
cana-1756	100	10	geometry	geometry	NOUN
cana-1756	100	11	group	group	NOUN
cana-1756	100	12	(	(	PUNCT
cana-1756	100	13	vgg	vgg	PROPN
cana-1756	100	14	)	)	PUNCT
cana-1756	100	15	model	model	NOUN
cana-1756	100	16	and	and	CCONJ
cana-1756	100	17	testing	test	VERB
cana-1756	100	18	it	it	PRON
cana-1756	100	19	on	on	ADP
cana-1756	100	20	many	many	ADJ
cana-1756	100	21	public	public	ADJ
cana-1756	100	22	datasets	dataset	NOUN
cana-1756	100	23	,	,	PUNCT
cana-1756	100	24	the	the	DET
cana-1756	100	25	architecture	architecture	NOUN
cana-1756	100	26	showed	show	VERB
cana-1756	100	27	improved	improved	ADJ
cana-1756	100	28	performance	performance	NOUN
cana-1756	100	29	for	for	ADP
cana-1756	100	30	face	face	NOUN
cana-1756	100	31	expression	expression	NOUN
cana-1756	100	32	analysis	analysis	NOUN
cana-1756	100	33	.	.	PUNCT
cana-1756	101	1	communications	communication	NOUN
cana-1756	101	2	on	on	ADP
cana-1756	101	3	applied	apply	VERB
cana-1756	101	4	nonlinear	nonlinear	ADJ
cana-1756	101	5	analysis	analysis	NOUN
cana-1756	101	6	issn	issn	NOUN
cana-1756	101	7	:	:	PUNCT
cana-1756	101	8	1074	1074	NUM
cana-1756	101	9	-	-	PUNCT
cana-1756	101	10	133x	133x	NUM
cana-1756	101	11	vol	vol	NOUN
cana-1756	101	12	32	32	NUM
cana-1756	101	13	no	no	NOUN
cana-1756	101	14	.	.	NOUN
cana-1756	101	15	2	2	NUM
cana-1756	101	16	(	(	PUNCT
cana-1756	101	17	2025	2025	NUM
cana-1756	101	18	)	)	PUNCT
cana-1756	101	19	414	414	NUM
cana-1756	101	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	102	1	the	the	DET
cana-1756	102	2	study	study	NOUN
cana-1756	102	3	highlights	highlight	NOUN
cana-1756	102	4	how	how	SCONJ
cana-1756	102	5	well	well	ADV
cana-1756	102	6	cnns	cnn	NOUN
cana-1756	102	7	interpret	interpret	VERB
cana-1756	102	8	emotions	emotion	NOUN
cana-1756	102	9	on	on	ADP
cana-1756	102	10	faces	face	NOUN
cana-1756	102	11	and	and	CCONJ
cana-1756	102	12	how	how	SCONJ
cana-1756	102	13	this	this	PRON
cana-1756	102	14	could	could	AUX
cana-1756	102	15	lead	lead	VERB
cana-1756	102	16	to	to	ADP
cana-1756	102	17	better	well	ADJ
cana-1756	102	18	human	human	ADJ
cana-1756	102	19	-	-	PUNCT
cana-1756	102	20	machine	machine	NOUN
cana-1756	102	21	communication	communication	NOUN
cana-1756	102	22	.	.	PUNCT
cana-1756	103	1	[	[	X
cana-1756	103	2	14	14	NUM
cana-1756	103	3	]	]	SYM
cana-1756	103	4	2006	2006	NUM
cana-1756	103	5	perona	perona	PROPN
cana-1756	103	6	-	-	PUNCT
cana-1756	103	7	malik	malik	PROPN
cana-1756	103	8	model	model	NOUN
cana-1756	103	9	total	total	ADJ
cana-1756	103	10	variation	variation	NOUN
cana-1756	103	11	minimization	minimization	NOUN
cana-1756	103	12	(	(	PUNCT
cana-1756	103	13	tvm	tvm	PROPN
cana-1756	103	14	)	)	PUNCT
cana-1756	103	15	motion	motion	NOUN
cana-1756	103	16	by	by	ADP
cana-1756	103	17	mean	mean	ADJ
cana-1756	103	18	curvature	curvature	NOUN
cana-1756	103	19	(	(	PUNCT
cana-1756	103	20	mmc	mmc	PROPN
cana-1756	103	21	)	)	PUNCT
cana-1756	103	22	the	the	DET
cana-1756	103	23	hybrid	hybrid	ADJ
cana-1756	103	24	model	model	NOUN
cana-1756	103	25	for	for	ADP
cana-1756	103	26	image	image	NOUN
cana-1756	103	27	restoration	restoration	NOUN
cana-1756	103	28	presented	present	VERB
cana-1756	103	29	in	in	ADP
cana-1756	103	30	this	this	DET
cana-1756	103	31	work	work	NOUN
cana-1756	103	32	treats	treat	VERB
cana-1756	103	33	an	an	DET
cana-1756	103	34	image	image	NOUN
cana-1756	103	35	corrupted	corrupt	VERB
cana-1756	103	36	by	by	ADP
cana-1756	103	37	both	both	DET
cana-1756	103	38	gaussians	gaussian	NOUN
cana-1756	103	39	and	and	CCONJ
cana-1756	103	40	impulses	impulse	NOUN
cana-1756	103	41	through	through	ADP
cana-1756	103	42	a	a	DET
cana-1756	103	43	unified	unified	ADJ
cana-1756	103	44	model	model	NOUN
cana-1756	103	45	by	by	ADP
cana-1756	103	46	incorporating	incorporate	VERB
cana-1756	103	47	the	the	DET
cana-1756	103	48	combined	combine	VERB
cana-1756	103	49	perona	perona	NOUN
cana-1756	103	50	-	-	PUNCT
cana-1756	103	51	malik	malik	PROPN
cana-1756	103	52	,	,	PUNCT
cana-1756	103	53	total	total	ADJ
cana-1756	103	54	variation	variation	NOUN
cana-1756	103	55	minimization	minimization	NOUN
cana-1756	103	56	(	(	PUNCT
cana-1756	103	57	tvm	tvm	PROPN
cana-1756	103	58	)	)	PUNCT
cana-1756	103	59	,	,	PUNCT
cana-1756	103	60	and	and	CCONJ
cana-1756	103	61	motion	motion	NOUN
cana-1756	103	62	by	by	ADP
cana-1756	103	63	mean	mean	ADJ
cana-1756	103	64	curvature	curvature	NOUN
cana-1756	103	65	(	(	PUNCT
cana-1756	103	66	mmc	mmc	NOUN
cana-1756	103	67	)	)	PUNCT
cana-1756	103	68	models	model	NOUN
cana-1756	103	69	.	.	PUNCT
cana-1756	104	1	the	the	DET
cana-1756	104	2	present	present	ADJ
cana-1756	104	3	research	research	NOUN
cana-1756	104	4	considers	consider	VERB
cana-1756	104	5	the	the	DET
cana-1756	104	6	classification	classification	NOUN
cana-1756	104	7	of	of	ADP
cana-1756	104	8	noisy	noisy	ADJ
cana-1756	104	9	pictures	picture	NOUN
cana-1756	104	10	using	use	VERB
cana-1756	104	11	hybrid	hybrid	ADJ
cana-1756	104	12	models	model	NOUN
cana-1756	104	13	.	.	PUNCT
cana-1756	105	1	the	the	DET
cana-1756	105	2	suggested	suggest	VERB
cana-1756	105	3	framework	framework	NOUN
cana-1756	105	4	and	and	CCONJ
cana-1756	105	5	mathematical	mathematical	ADJ
cana-1756	105	6	methods	method	NOUN
cana-1756	105	7	can	can	AUX
cana-1756	105	8	cater	cater	VERB
cana-1756	105	9	to	to	ADP
cana-1756	105	10	both	both	DET
cana-1756	105	11	grayscale	grayscale	NOUN
cana-1756	105	12	and	and	CCONJ
cana-1756	105	13	color	color	NOUN
cana-1756	105	14	images	image	NOUN
cana-1756	105	15	for	for	ADP
cana-1756	105	16	denoising	denoising	NOUN
cana-1756	105	17	,	,	PUNCT
cana-1756	105	18	with	with	SCONJ
cana-1756	105	19	the	the	DET
cana-1756	105	20	technique	technique	NOUN
cana-1756	105	21	of	of	ADP
cana-1756	105	22	chromaticity	chromaticity	NOUN
cana-1756	105	23	-	-	PUNCT
cana-1756	105	24	brightness	brightness	NOUN
cana-1756	105	25	break	break	VERB
cana-1756	105	26	down	down	ADP
cana-1756	105	27	being	be	AUX
cana-1756	105	28	the	the	DET
cana-1756	105	29	main	main	NOUN
cana-1756	105	30	for	for	ADP
cana-1756	105	31	color	color	NOUN
cana-1756	105	32	images	image	NOUN
cana-1756	105	33	.	.	PUNCT
cana-1756	106	1	[	[	X
cana-1756	106	2	15	15	NUM
cana-1756	106	3	]	]	SYM
cana-1756	106	4	2005	2005	NUM
cana-1756	106	5	support	support	NOUN
cana-1756	106	6	vector	vector	NOUN
cana-1756	106	7	machines	machine	NOUN
cana-1756	106	8	linear	linear	VERB
cana-1756	106	9	discriminant	discriminant	ADJ
cana-1756	106	10	analysis	analysis	NOUN
cana-1756	106	11	adaboost	adaboost	ADP
cana-1756	106	12	a	a	DET
cana-1756	106	13	comparison	comparison	NOUN
cana-1756	106	14	of	of	ADP
cana-1756	106	15	a	a	DET
cana-1756	106	16	few	few	ADJ
cana-1756	106	17	machine	machine	NOUN
cana-1756	106	18	learning	learn	VERB
cana-1756	106	19	techniques	technique	NOUN
cana-1756	106	20	used	use	VERB
cana-1756	106	21	in	in	ADP
cana-1756	106	22	face	face	NOUN
cana-1756	106	23	emotion	emotion	NOUN
cana-1756	106	24	recognition	recognition	NOUN
cana-1756	106	25	is	be	AUX
cana-1756	106	26	provided	provide	VERB
cana-1756	106	27	in	in	ADP
cana-1756	106	28	one	one	NUM
cana-1756	106	29	of	of	ADP
cana-1756	106	30	the	the	DET
cana-1756	106	31	research	research	NOUN
cana-1756	106	32	.	.	PUNCT
cana-1756	107	1	it	it	PRON
cana-1756	107	2	has	have	AUX
cana-1756	107	3	created	create	VERB
cana-1756	107	4	adaboost	adaboost	ADV
cana-1756	107	5	and	and	CCONJ
cana-1756	107	6	support	support	VERB
cana-1756	107	7	vector	vector	NOUN
cana-1756	107	8	machines	machine	NOUN
cana-1756	107	9	to	to	PART
cana-1756	107	10	choose	choose	VERB
cana-1756	107	11	and	and	CCONJ
cana-1756	107	12	classify	classify	VERB
cana-1756	107	13	features	feature	NOUN
cana-1756	107	14	with	with	ADP
cana-1756	107	15	high	high	ADJ
cana-1756	107	16	accuracy	accuracy	NOUN
cana-1756	107	17	.	.	PUNCT
cana-1756	108	1	because	because	SCONJ
cana-1756	108	2	the	the	DET
cana-1756	108	3	technology	technology	NOUN
cana-1756	108	4	operates	operate	VERB
cana-1756	108	5	in	in	ADP
cana-1756	108	6	real	real	ADJ
cana-1756	108	7	-	-	PUNCT
cana-1756	108	8	time	time	NOUN
cana-1756	108	9	,	,	PUNCT
cana-1756	108	10	it	it	PRON
cana-1756	108	11	can	can	AUX
cana-1756	108	12	accurately	accurately	ADV
cana-1756	108	13	recognize	recognize	VERB
cana-1756	108	14	both	both	PRON
cana-1756	108	15	basic	basic	ADJ
cana-1756	108	16	emotional	emotional	ADJ
cana-1756	108	17	feelings	feeling	NOUN
cana-1756	108	18	and	and	CCONJ
cana-1756	108	19	facial	facial	ADJ
cana-1756	108	20	action	action	NOUN
cana-1756	108	21	units	unit	NOUN
cana-1756	108	22	.	.	PUNCT
cana-1756	109	1	the	the	DET
cana-1756	109	2	dfat-504	dfat-504	NOUN
cana-1756	109	3	dataset	dataset	VERB
cana-1756	109	4	by	by	ADP
cana-1756	109	5	cohn	cohn	PROPN
cana-1756	109	6	and	and	CCONJ
cana-1756	109	7	kanade	kanade	PROPN
cana-1756	109	8	provided	provide	VERB
cana-1756	109	9	the	the	DET
cana-1756	109	10	data	datum	NOUN
cana-1756	109	11	that	that	PRON
cana-1756	109	12	was	be	AUX
cana-1756	109	13	used	use	VERB
cana-1756	109	14	.	.	PUNCT
cana-1756	110	1	the	the	DET
cana-1756	110	2	study	study	NOUN
cana-1756	110	3	's	's	PART
cana-1756	110	4	findings	finding	NOUN
cana-1756	110	5	thus	thus	ADV
cana-1756	110	6	highlight	highlight	VERB
cana-1756	110	7	how	how	SCONJ
cana-1756	110	8	crucial	crucial	ADJ
cana-1756	110	9	real	real	ADJ
cana-1756	110	10	-	-	PUNCT
cana-1756	110	11	time	time	NOUN
cana-1756	110	12	processing	processing	NOUN
cana-1756	110	13	is	be	AUX
cana-1756	110	14	for	for	ADP
cana-1756	110	15	real	real	ADJ
cana-1756	110	16	-	-	PUNCT
cana-1756	110	17	world	world	NOUN
cana-1756	110	18	uses	use	NOUN
cana-1756	110	19	.	.	PUNCT
cana-1756	111	1	3	3	X
cana-1756	111	2	.	.	X
cana-1756	111	3	techniques	technique	NOUN
cana-1756	111	4	used	use	VERB
cana-1756	111	5	a.	a.	NOUN
cana-1756	111	6	vgg16	vgg16	VERB
cana-1756	111	7	the	the	DET
cana-1756	111	8	convolutional	convolutional	ADJ
cana-1756	111	9	neural	neural	ADJ
cana-1756	111	10	network	network	NOUN
cana-1756	111	11	(	(	PUNCT
cana-1756	111	12	cnn	cnn	PROPN
cana-1756	111	13	)	)	PUNCT
cana-1756	111	14	architecture	architecture	NOUN
cana-1756	111	15	known	know	VERB
cana-1756	111	16	as	as	ADP
cana-1756	111	17	vgg16	vgg16	PROPN
cana-1756	111	18	is	be	AUX
cana-1756	111	19	generally	generally	ADV
cana-1756	111	20	acknowledged	acknowledge	VERB
cana-1756	111	21	for	for	ADP
cana-1756	111	22	its	its	PRON
cana-1756	111	23	ease	ease	NOUN
cana-1756	111	24	of	of	ADP
cana-1756	111	25	use	use	NOUN
cana-1756	111	26	and	and	CCONJ
cana-1756	111	27	high	high	ADJ
cana-1756	111	28	level	level	NOUN
cana-1756	111	29	of	of	ADP
cana-1756	111	30	efficiency	efficiency	NOUN
cana-1756	111	31	.	.	PUNCT
cana-1756	112	1	convolutional	convolutional	ADJ
cana-1756	112	2	layers	layer	NOUN
cana-1756	112	3	number	number	NOUN
cana-1756	112	4	thirteen	thirteen	NUM
cana-1756	112	5	,	,	PUNCT
cana-1756	112	6	while	while	SCONJ
cana-1756	112	7	completely	completely	ADV
cana-1756	112	8	connected	connected	ADJ
cana-1756	112	9	layers	layer	NOUN
cana-1756	112	10	make	make	VERB
cana-1756	112	11	up	up	ADP
cana-1756	112	12	the	the	DET
cana-1756	112	13	remaining	remain	VERB
cana-1756	112	14	three	three	NUM
cana-1756	112	15	levels	level	NOUN
cana-1756	112	16	.	.	PUNCT
cana-1756	113	1	the	the	DET
cana-1756	113	2	network	network	NOUN
cana-1756	113	3	is	be	AUX
cana-1756	113	4	able	able	ADJ
cana-1756	113	5	to	to	PART
cana-1756	113	6	collect	collect	VERB
cana-1756	113	7	minute	minute	NOUN
cana-1756	113	8	details	detail	NOUN
cana-1756	113	9	in	in	ADP
cana-1756	113	10	the	the	DET
cana-1756	113	11	data	datum	NOUN
cana-1756	113	12	on	on	ADP
cana-1756	113	13	account	account	NOUN
cana-1756	113	14	of	of	ADP
cana-1756	113	15	the	the	DET
cana-1756	113	16	small	small	ADJ
cana-1756	113	17	3x3	3x3	NUM
cana-1756	113	18	convolutional	convolutional	ADJ
cana-1756	113	19	filters	filter	NOUN
cana-1756	113	20	.	.	PUNCT
cana-1756	114	1	presented	present	VERB
cana-1756	114	2	in	in	ADP
cana-1756	114	3	figure	figure	NOUN
cana-1756	114	4	1	1	NUM
cana-1756	114	5	is	be	AUX
cana-1756	114	6	an	an	DET
cana-1756	114	7	illustration	illustration	NOUN
cana-1756	114	8	of	of	ADP
cana-1756	114	9	the	the	DET
cana-1756	114	10	architecture	architecture	NOUN
cana-1756	114	11	that	that	PRON
cana-1756	114	12	was	be	AUX
cana-1756	114	13	implemented	implement	VERB
cana-1756	114	14	.	.	PUNCT
cana-1756	115	1	application	application	NOUN
cana-1756	115	2	:	:	PUNCT
cana-1756	115	3	the	the	DET
cana-1756	115	4	vgg16	vgg16	NOUN
cana-1756	115	5	algorithm	algorithm	NOUN
cana-1756	115	6	can	can	AUX
cana-1756	115	7	be	be	AUX
cana-1756	115	8	utilized	utilize	VERB
cana-1756	115	9	for	for	ADP
cana-1756	115	10	a	a	DET
cana-1756	115	11	variety	variety	NOUN
cana-1756	115	12	of	of	ADP
cana-1756	115	13	purposes	purpose	NOUN
cana-1756	115	14	,	,	PUNCT
cana-1756	115	15	including	include	VERB
cana-1756	115	16	picture	picture	NOUN
cana-1756	115	17	classification	classification	NOUN
cana-1756	115	18	applications	application	NOUN
cana-1756	115	19	.	.	PUNCT
cana-1756	116	1	object	object	NOUN
cana-1756	116	2	identification	identification	NOUN
cana-1756	116	3	and	and	CCONJ
cana-1756	116	4	scene	scene	NOUN
cana-1756	116	5	comprehension	comprehension	NOUN
cana-1756	116	6	are	be	AUX
cana-1756	116	7	two	two	NUM
cana-1756	116	8	examples	example	NOUN
cana-1756	116	9	of	of	ADP
cana-1756	116	10	applications	application	NOUN
cana-1756	116	11	that	that	PRON
cana-1756	116	12	have	have	AUX
cana-1756	116	13	previously	previously	ADV
cana-1756	116	14	utilized	utilize	VERB
cana-1756	116	15	this	this	DET
cana-1756	116	16	technology	technology	NOUN
cana-1756	116	17	.	.	PUNCT
cana-1756	117	1	as	as	ADP
cana-1756	117	2	a	a	DET
cana-1756	117	3	result	result	NOUN
cana-1756	117	4	of	of	ADP
cana-1756	117	5	the	the	DET
cana-1756	117	6	fact	fact	NOUN
cana-1756	117	7	that	that	SCONJ
cana-1756	117	8	it	it	PRON
cana-1756	117	9	may	may	AUX
cana-1756	117	10	be	be	AUX
cana-1756	117	11	customized	customize	VERB
cana-1756	117	12	for	for	ADP
cana-1756	117	13	the	the	DET
cana-1756	117	14	purpose	purpose	NOUN
cana-1756	117	15	of	of	ADP
cana-1756	117	16	extracting	extract	VERB
cana-1756	117	17	attention	attention	NOUN
cana-1756	117	18	-	-	PUNCT
cana-1756	117	19	based	base	VERB
cana-1756	117	20	features	feature	NOUN
cana-1756	117	21	of	of	ADP
cana-1756	117	22	eyegaze	eyegaze	NOUN
cana-1756	117	23	data	datum	NOUN
cana-1756	117	24	within	within	ADP
cana-1756	117	25	the	the	DET
cana-1756	117	26	context	context	NOUN
cana-1756	117	27	of	of	ADP
cana-1756	117	28	the	the	DET
cana-1756	117	29	problem	problem	NOUN
cana-1756	117	30	,	,	PUNCT
cana-1756	117	31	it	it	PRON
cana-1756	117	32	is	be	AUX
cana-1756	117	33	suitable	suitable	ADJ
cana-1756	117	34	for	for	ADP
cana-1756	117	35	understanding	understand	VERB
cana-1756	117	36	gaze	gaze	NOUN
cana-1756	117	37	patterns	pattern	NOUN
cana-1756	117	38	and	and	CCONJ
cana-1756	117	39	attention	attention	NOUN
cana-1756	117	40	changes	change	NOUN
cana-1756	117	41	.	.	PUNCT
cana-1756	118	1	communications	communication	NOUN
cana-1756	118	2	on	on	ADP
cana-1756	118	3	applied	apply	VERB
cana-1756	118	4	nonlinear	nonlinear	ADJ
cana-1756	118	5	analysis	analysis	NOUN
cana-1756	118	6	issn	issn	NOUN
cana-1756	118	7	:	:	PUNCT
cana-1756	118	8	1074	1074	NUM
cana-1756	118	9	-	-	PUNCT
cana-1756	118	10	133x	133x	NUM
cana-1756	118	11	vol	vol	NOUN
cana-1756	118	12	32	32	NUM
cana-1756	118	13	no	no	NOUN
cana-1756	118	14	.	.	NOUN
cana-1756	118	15	2	2	NUM
cana-1756	118	16	(	(	PUNCT
cana-1756	118	17	2025	2025	NUM
cana-1756	118	18	)	)	PUNCT
cana-1756	119	1	415	415	NUM
cana-1756	119	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	119	3	figure	figure	NOUN
cana-1756	119	4	1	1	NUM
cana-1756	119	5	.	.	PUNCT
cana-1756	120	1	vgg16	vgg16	NOUN
cana-1756	120	2	architecture	architecture	NOUN
cana-1756	120	3	diagram	diagram	PROPN
cana-1756	120	4	b.	b.	PROPN
cana-1756	120	5	vgg19	vgg19	VERB
cana-1756	120	6	the	the	DET
cana-1756	120	7	depth	depth	NOUN
cana-1756	120	8	of	of	ADP
cana-1756	120	9	it	it	PRON
cana-1756	120	10	is	be	AUX
cana-1756	120	11	greater	great	ADJ
cana-1756	120	12	,	,	PUNCT
cana-1756	120	13	with	with	ADP
cana-1756	120	14	an	an	DET
cana-1756	120	15	additional	additional	ADJ
cana-1756	120	16	19	19	NUM
cana-1756	120	17	layers	layer	NOUN
cana-1756	120	18	that	that	PRON
cana-1756	120	19	extend	extend	VERB
cana-1756	120	20	beyond	beyond	ADP
cana-1756	120	21	vgg16	vgg16	NOUN
cana-1756	120	22	.	.	PUNCT
cana-1756	121	1	additionally	additionally	ADV
cana-1756	121	2	,	,	PUNCT
cana-1756	121	3	it	it	PRON
cana-1756	121	4	is	be	AUX
cana-1756	121	5	the	the	DET
cana-1756	121	6	straightforwardness	straightforwardness	NOUN
cana-1756	121	7	and	and	CCONJ
cana-1756	121	8	consistency	consistency	NOUN
cana-1756	121	9	of	of	ADP
cana-1756	121	10	its	its	PRON
cana-1756	121	11	design	design	NOUN
cana-1756	121	12	,	,	PUNCT
cana-1756	121	13	as	as	SCONJ
cana-1756	121	14	was	be	AUX
cana-1756	121	15	discussed	discuss	VERB
cana-1756	121	16	earlier	early	ADV
cana-1756	121	17	,	,	PUNCT
cana-1756	121	18	as	as	ADV
cana-1756	121	19	well	well	ADV
cana-1756	121	20	as	as	ADP
cana-1756	121	21	the	the	DET
cana-1756	121	22	continuation	continuation	NOUN
cana-1756	121	23	of	of	ADP
cana-1756	121	24	the	the	DET
cana-1756	121	25	3x3	3x3	NUM
cana-1756	121	26	convolutional	convolutional	ADJ
cana-1756	121	27	filter	filter	NOUN
cana-1756	121	28	configuration	configuration	NOUN
cana-1756	121	29	.	.	PUNCT
cana-1756	122	1	figure	figure	NOUN
cana-1756	122	2	2	2	NUM
cana-1756	122	3	presents	present	VERB
cana-1756	122	4	a	a	DET
cana-1756	122	5	diagrammatic	diagrammatic	ADJ
cana-1756	122	6	representation	representation	NOUN
cana-1756	122	7	of	of	ADP
cana-1756	122	8	the	the	DET
cana-1756	122	9	architecture	architecture	NOUN
cana-1756	122	10	.	.	PUNCT
cana-1756	123	1	applications	application	NOUN
cana-1756	123	2	:	:	PUNCT
cana-1756	123	3	in	in	ADP
cana-1756	123	4	the	the	DET
cana-1756	123	5	majority	majority	NOUN
cana-1756	123	6	of	of	ADP
cana-1756	123	7	picture	picture	NOUN
cana-1756	123	8	classification	classification	NOUN
cana-1756	123	9	applications	application	NOUN
cana-1756	123	10	,	,	PUNCT
cana-1756	123	11	vgg19	vgg19	PROPN
cana-1756	123	12	and	and	CCONJ
cana-1756	123	13	vgg16	vgg16	PROPN
cana-1756	123	14	are	be	AUX
cana-1756	123	15	utilized	utilize	VERB
cana-1756	123	16	to	to	PART
cana-1756	123	17	handle	handle	VERB
cana-1756	123	18	instances	instance	NOUN
cana-1756	123	19	that	that	PRON
cana-1756	123	20	are	be	AUX
cana-1756	123	21	very	very	ADV
cana-1756	123	22	similar	similar	ADJ
cana-1756	123	23	to	to	ADP
cana-1756	123	24	one	one	NUM
cana-1756	123	25	another	another	DET
cana-1756	123	26	.	.	PUNCT
cana-1756	124	1	whenever	whenever	SCONJ
cana-1756	124	2	it	it	PRON
cana-1756	124	3	comes	come	VERB
cana-1756	124	4	to	to	ADP
cana-1756	124	5	attention	attention	NOUN
cana-1756	124	6	monitoring	monitoring	NOUN
cana-1756	124	7	,	,	PUNCT
cana-1756	124	8	its	its	PRON
cana-1756	124	9	greater	great	ADJ
cana-1756	124	10	depth	depth	NOUN
cana-1756	124	11	may	may	AUX
cana-1756	124	12	be	be	AUX
cana-1756	124	13	utilized	utilize	VERB
cana-1756	124	14	to	to	PART
cana-1756	124	15	emphasize	emphasize	VERB
cana-1756	124	16	a	a	DET
cana-1756	124	17	more	more	ADV
cana-1756	124	18	detailed	detailed	ADJ
cana-1756	124	19	pattern	pattern	NOUN
cana-1756	124	20	of	of	ADP
cana-1756	124	21	possibly	possibly	ADV
cana-1756	124	22	superior	superior	ADJ
cana-1756	124	23	analysis	analysis	NOUN
cana-1756	124	24	of	of	ADP
cana-1756	124	25	underlying	underlie	VERB
cana-1756	124	26	data	datum	NOUN
cana-1756	124	27	eye	eye	NOUN
cana-1756	124	28	gazes	gaze	VERB
cana-1756	124	29	for	for	ADP
cana-1756	124	30	the	the	DET
cana-1756	124	31	purpose	purpose	NOUN
cana-1756	124	32	of	of	ADP
cana-1756	124	33	researching	research	VERB
cana-1756	124	34	attention	attention	NOUN
cana-1756	124	35	patterns	pattern	NOUN
cana-1756	124	36	.	.	PUNCT
cana-1756	125	1	figure	figure	NOUN
cana-1756	125	2	2	2	NUM
cana-1756	125	3	.	.	NUM
cana-1756	125	4	vgg19	vgg19	PROPN
cana-1756	125	5	architecture	architecture	NOUN
cana-1756	125	6	diagram	diagram	NOUN
cana-1756	125	7	c.	c.	PROPN
cana-1756	125	8	inception	inception	PROPN
cana-1756	125	9	v3	v3	PROPN
cana-1756	125	10	inceptionv3	inceptionv3	PROPN
cana-1756	125	11	is	be	AUX
cana-1756	125	12	a	a	DET
cana-1756	125	13	member	member	NOUN
cana-1756	125	14	of	of	ADP
cana-1756	125	15	the	the	DET
cana-1756	125	16	entire	entire	ADJ
cana-1756	125	17	family	family	NOUN
cana-1756	125	18	of	of	ADP
cana-1756	125	19	architectures	architecture	NOUN
cana-1756	125	20	that	that	PRON
cana-1756	125	21	are	be	AUX
cana-1756	125	22	collectively	collectively	ADV
cana-1756	125	23	referred	refer	VERB
cana-1756	125	24	to	to	ADP
cana-1756	125	25	as	as	ADP
cana-1756	125	26	inception	inception	NOUN
cana-1756	125	27	.	.	PUNCT
cana-1756	126	1	in	in	ADP
cana-1756	126	2	the	the	DET
cana-1756	126	3	same	same	ADJ
cana-1756	126	4	way	way	NOUN
cana-1756	126	5	that	that	PRON
cana-1756	126	6	previous	previous	ADJ
cana-1756	126	7	inception	inception	NOUN
cana-1756	126	8	models	model	NOUN
cana-1756	126	9	do	do	VERB
cana-1756	126	10	,	,	PUNCT
cana-1756	126	11	it	it	PRON
cana-1756	126	12	employs	employ	VERB
cana-1756	126	13	pooling	pool	VERB
cana-1756	126	14	layers	layer	NOUN
cana-1756	126	15	in	in	ADP
cana-1756	126	16	addition	addition	NOUN
cana-1756	126	17	to	to	ADP
cana-1756	126	18	convolutional	convolutional	ADJ
cana-1756	126	19	layers	layer	NOUN
cana-1756	126	20	that	that	PRON
cana-1756	126	21	have	have	VERB
cana-1756	126	22	several	several	ADJ
cana-1756	126	23	filter	filter	NOUN
cana-1756	126	24	sizes	size	NOUN
cana-1756	126	25	(	(	PUNCT
cana-1756	126	26	1x1	1x1	NUM
cana-1756	126	27	,	,	PUNCT
cana-1756	126	28	3x3	3x3	NUM
cana-1756	126	29	,	,	PUNCT
cana-1756	126	30	and	and	CCONJ
cana-1756	126	31	5x5	5x5	NUM
cana-1756	126	32	)	)	PUNCT
cana-1756	126	33	.	.	PUNCT
cana-1756	127	1	in	in	ADP
cana-1756	127	2	addition	addition	NOUN
cana-1756	127	3	,	,	PUNCT
cana-1756	127	4	it	it	PRON
cana-1756	127	5	makes	make	VERB
cana-1756	127	6	use	use	NOUN
cana-1756	127	7	of	of	ADP
cana-1756	127	8	batch	batch	NOUN
cana-1756	127	9	normalization	normalization	NOUN
cana-1756	127	10	and	and	CCONJ
cana-1756	127	11	residual	residual	ADJ
cana-1756	127	12	connections	connection	NOUN
cana-1756	127	13	in	in	ADP
cana-1756	127	14	order	order	NOUN
cana-1756	127	15	to	to	PART
cana-1756	127	16	ensure	ensure	VERB
cana-1756	127	17	that	that	SCONJ
cana-1756	127	18	training	training	NOUN
cana-1756	127	19	is	be	AUX
cana-1756	127	20	consistent	consistent	ADJ
cana-1756	127	21	.	.	PUNCT
cana-1756	128	1	after	after	ADP
cana-1756	128	2	this	this	PRON
cana-1756	128	3	,	,	PUNCT
cana-1756	128	4	the	the	DET
cana-1756	128	5	architecture	architecture	NOUN
cana-1756	128	6	is	be	AUX
cana-1756	128	7	depicted	depict	VERB
cana-1756	128	8	in	in	ADP
cana-1756	128	9	figure	figure	NOUN
cana-1756	128	10	3	3	NUM
cana-1756	128	11	,	,	PUNCT
cana-1756	128	12	which	which	PRON
cana-1756	128	13	is	be	AUX
cana-1756	128	14	presented	present	VERB
cana-1756	128	15	in	in	ADP
cana-1756	128	16	the	the	DET
cana-1756	128	17	next	next	ADJ
cana-1756	128	18	article	article	NOUN
cana-1756	128	19	.	.	PUNCT
cana-1756	129	1	application	application	NOUN
cana-1756	129	2	:	:	PUNCT
cana-1756	129	3	with	with	ADP
cana-1756	129	4	a	a	DET
cana-1756	129	5	number	number	NOUN
cana-1756	129	6	of	of	ADP
cana-1756	129	7	computer	computer	NOUN
cana-1756	129	8	vision	vision	NOUN
cana-1756	129	9	tasks	task	NOUN
cana-1756	129	10	that	that	PRON
cana-1756	129	11	are	be	AUX
cana-1756	129	12	relevant	relevant	ADJ
cana-1756	129	13	to	to	ADP
cana-1756	129	14	the	the	DET
cana-1756	129	15	architecture	architecture	NOUN
cana-1756	129	16	inceptionv3	inceptionv3	NOUN
cana-1756	129	17	,	,	PUNCT
cana-1756	129	18	such	such	ADJ
cana-1756	129	19	as	as	ADP
cana-1756	129	20	the	the	DET
cana-1756	129	21	detection	detection	NOUN
cana-1756	129	22	of	of	ADP
cana-1756	129	23	objects	object	NOUN
cana-1756	129	24	and	and	CCONJ
cana-1756	129	25	the	the	DET
cana-1756	129	26	classification	classification	NOUN
cana-1756	129	27	of	of	ADP
cana-1756	129	28	images	image	NOUN
cana-1756	129	29	.	.	PUNCT
cana-1756	130	1	as	as	ADP
cana-1756	130	2	a	a	DET
cana-1756	130	3	result	result	NOUN
cana-1756	130	4	,	,	PUNCT
cana-1756	130	5	it	it	PRON
cana-1756	130	6	is	be	AUX
cana-1756	130	7	able	able	ADJ
cana-1756	130	8	to	to	PART
cana-1756	130	9	emphasize	emphasize	VERB
cana-1756	130	10	the	the	DET
cana-1756	130	11	patterns	pattern	NOUN
cana-1756	130	12	of	of	ADP
cana-1756	130	13	attention	attention	NOUN
cana-1756	130	14	for	for	ADP
cana-1756	130	15	distinct	distinct	ADJ
cana-1756	130	16	regions	region	NOUN
cana-1756	130	17	in	in	ADP
cana-1756	130	18	a	a	DET
cana-1756	130	19	visual	visual	ADJ
cana-1756	130	20	field	field	NOUN
cana-1756	130	21	at	at	ADP
cana-1756	130	22	high	high	ADJ
cana-1756	130	23	levels	level	NOUN
cana-1756	130	24	of	of	ADP
cana-1756	130	25	precision	precision	NOUN
cana-1756	130	26	and	and	CCONJ
cana-1756	130	27	recall	recall	NOUN
cana-1756	130	28	values	value	NOUN
cana-1756	130	29	,	,	PUNCT
cana-1756	130	30	thereby	thereby	ADV
cana-1756	130	31	capturing	capture	VERB
cana-1756	130	32	good	good	ADJ
cana-1756	130	33	multi	multi	ADJ
cana-1756	130	34	-	-	ADJ
cana-1756	130	35	scale	scale	ADJ
cana-1756	130	36	attention	attention	NOUN
cana-1756	130	37	dynamics	dynamic	NOUN
cana-1756	130	38	.	.	PUNCT
cana-1756	131	1	this	this	PRON
cana-1756	131	2	is	be	AUX
cana-1756	131	3	in	in	ADP
cana-1756	131	4	relation	relation	NOUN
cana-1756	131	5	to	to	ADP
cana-1756	131	6	the	the	DET
cana-1756	131	7	monitoring	monitoring	NOUN
cana-1756	131	8	of	of	ADP
cana-1756	131	9	attention	attention	NOUN
cana-1756	131	10	.	.	PUNCT
cana-1756	132	1	communications	communication	NOUN
cana-1756	132	2	on	on	ADP
cana-1756	132	3	applied	apply	VERB
cana-1756	132	4	nonlinear	nonlinear	ADJ
cana-1756	132	5	analysis	analysis	NOUN
cana-1756	132	6	issn	issn	NOUN
cana-1756	132	7	:	:	PUNCT
cana-1756	132	8	1074	1074	NUM
cana-1756	132	9	-	-	PUNCT
cana-1756	132	10	133x	133x	NUM
cana-1756	132	11	vol	vol	NOUN
cana-1756	132	12	32	32	NUM
cana-1756	132	13	no	no	NOUN
cana-1756	132	14	.	.	NOUN
cana-1756	132	15	2	2	NUM
cana-1756	132	16	(	(	PUNCT
cana-1756	132	17	2025	2025	NUM
cana-1756	132	18	)	)	PUNCT
cana-1756	132	19	416	416	NUM
cana-1756	132	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	132	21	figure	figure	NOUN
cana-1756	132	22	3	3	NUM
cana-1756	132	23	.	.	PUNCT
cana-1756	132	24	inceptionv3	inceptionv3	NOUN
cana-1756	132	25	architecture	architecture	NOUN
cana-1756	132	26	diagram	diagram	NOUN
cana-1756	132	27	d.	d.	PROPN
cana-1756	132	28	efficientnetb0	efficientnetb0	PROPN
cana-1756	132	29	and	and	CCONJ
cana-1756	132	30	efficientnetb7	efficientnetb7	ADV
cana-1756	132	31	by	by	ADP
cana-1756	132	32	using	use	VERB
cana-1756	132	33	compound	compound	NOUN
cana-1756	132	34	scaling	scaling	NOUN
cana-1756	132	35	,	,	PUNCT
cana-1756	132	36	the	the	DET
cana-1756	132	37	model	model	NOUN
cana-1756	132	38	family	family	NOUN
cana-1756	132	39	is	be	AUX
cana-1756	132	40	able	able	ADJ
cana-1756	132	41	to	to	PART
cana-1756	132	42	establish	establish	VERB
cana-1756	132	43	a	a	DET
cana-1756	132	44	balance	balance	NOUN
cana-1756	132	45	in	in	ADP
cana-1756	132	46	terms	term	NOUN
cana-1756	132	47	of	of	ADP
cana-1756	132	48	depth	depth	NOUN
cana-1756	132	49	,	,	PUNCT
cana-1756	132	50	width	width	ADJ
cana-1756	132	51	,	,	PUNCT
cana-1756	132	52	and	and	CCONJ
cana-1756	132	53	resolution	resolution	NOUN
cana-1756	132	54	.	.	PUNCT
cana-1756	133	1	efficientnetb0	efficientnetb0	NOUN
cana-1756	133	2	is	be	AUX
cana-1756	133	3	the	the	DET
cana-1756	133	4	name	name	NOUN
cana-1756	133	5	that	that	PRON
cana-1756	133	6	is	be	AUX
cana-1756	133	7	generally	generally	ADV
cana-1756	133	8	used	use	VERB
cana-1756	133	9	to	to	PART
cana-1756	133	10	refer	refer	VERB
cana-1756	133	11	to	to	ADP
cana-1756	133	12	the	the	DET
cana-1756	133	13	base	base	NOUN
cana-1756	133	14	model	model	NOUN
cana-1756	133	15	,	,	PUNCT
cana-1756	133	16	whereas	whereas	SCONJ
cana-1756	133	17	efficientnetb7	efficientnetb7	PROPN
cana-1756	133	18	,	,	PUNCT
cana-1756	133	19	which	which	PRON
cana-1756	133	20	is	be	AUX
cana-1756	133	21	one	one	NUM
cana-1756	133	22	of	of	ADP
cana-1756	133	23	the	the	DET
cana-1756	133	24	larger	large	ADJ
cana-1756	133	25	variants	variant	NOUN
cana-1756	133	26	,	,	PUNCT
cana-1756	133	27	provides	provide	VERB
cana-1756	133	28	enhanced	enhanced	ADJ
cana-1756	133	29	depth	depth	NOUN
cana-1756	133	30	and	and	CCONJ
cana-1756	133	31	resolution	resolution	NOUN
cana-1756	133	32	.	.	PUNCT
cana-1756	134	1	as	as	SCONJ
cana-1756	134	2	can	can	AUX
cana-1756	134	3	be	be	AUX
cana-1756	134	4	seen	see	VERB
cana-1756	134	5	in	in	ADP
cana-1756	134	6	figures	figure	NOUN
cana-1756	134	7	4	4	NUM
cana-1756	134	8	and	and	CCONJ
cana-1756	134	9	5	5	NUM
cana-1756	134	10	,	,	PUNCT
cana-1756	134	11	respectively	respectively	ADV
cana-1756	134	12	,	,	PUNCT
cana-1756	134	13	the	the	DET
cana-1756	134	14	architecture	architecture	NOUN
cana-1756	134	15	diagrams	diagram	NOUN
cana-1756	134	16	for	for	ADP
cana-1756	134	17	efficientnetb0	efficientnetb0	NOUN
cana-1756	134	18	and	and	CCONJ
cana-1756	134	19	efficientnetb7	efficientnetb7	NOUN
cana-1756	134	20	are	be	AUX
cana-1756	134	21	presented	present	VERB
cana-1756	134	22	.	.	PUNCT
cana-1756	135	1	applications	application	NOUN
cana-1756	135	2	:	:	PUNCT
cana-1756	135	3	this	this	PRON
cana-1756	135	4	is	be	AUX
cana-1756	135	5	just	just	ADV
cana-1756	135	6	one	one	NUM
cana-1756	135	7	scenario	scenario	NOUN
cana-1756	135	8	where	where	SCONJ
cana-1756	135	9	object	object	VERB
cana-1756	135	10	detection	detection	NOUN
cana-1756	135	11	and	and	CCONJ
cana-1756	135	12	image	image	NOUN
cana-1756	135	13	classification	classification	NOUN
cana-1756	135	14	demonstrate	demonstrate	VERB
cana-1756	135	15	the	the	DET
cana-1756	135	16	superior	superior	ADJ
cana-1756	135	17	performance	performance	NOUN
cana-1756	135	18	of	of	ADP
cana-1756	135	19	efficientnet	efficientnet	NOUN
cana-1756	135	20	models	model	NOUN
cana-1756	135	21	.	.	PUNCT
cana-1756	136	1	since	since	SCONJ
cana-1756	136	2	efficientnetb0	efficientnetb0	NOUN
cana-1756	136	3	is	be	AUX
cana-1756	136	4	a	a	DET
cana-1756	136	5	lightweight	lightweight	ADJ
cana-1756	136	6	model	model	NOUN
cana-1756	136	7	,	,	PUNCT
cana-1756	136	8	it	it	PRON
cana-1756	136	9	may	may	AUX
cana-1756	136	10	be	be	AUX
cana-1756	136	11	utilized	utilize	VERB
cana-1756	136	12	in	in	ADP
cana-1756	136	13	real	real	ADJ
cana-1756	136	14	-	-	PUNCT
cana-1756	136	15	time	time	NOUN
cana-1756	136	16	applications	application	NOUN
cana-1756	136	17	;	;	PUNCT
cana-1756	136	18	nevertheless	nevertheless	ADV
cana-1756	136	19	,	,	PUNCT
cana-1756	136	20	due	due	ADP
cana-1756	136	21	to	to	ADP
cana-1756	136	22	its	its	PRON
cana-1756	136	23	high	high	ADJ
cana-1756	136	24	-	-	PUNCT
cana-1756	136	25	resolution	resolution	NOUN
cana-1756	136	26	eye	eye	NOUN
cana-1756	136	27	gaze	gaze	NOUN
cana-1756	136	28	data	datum	NOUN
cana-1756	136	29	,	,	PUNCT
cana-1756	136	30	efficientnetb7	efficientnetb7	NOUN
cana-1756	136	31	can	can	AUX
cana-1756	136	32	also	also	ADV
cana-1756	136	33	be	be	AUX
cana-1756	136	34	employed	employ	VERB
cana-1756	136	35	in	in	ADP
cana-1756	136	36	sophisticated	sophisticated	ADJ
cana-1756	136	37	attention	attention	NOUN
cana-1756	136	38	map	map	NOUN
cana-1756	136	39	applications	application	NOUN
cana-1756	136	40	.	.	PUNCT
cana-1756	137	1	communications	communication	NOUN
cana-1756	137	2	on	on	ADP
cana-1756	137	3	applied	apply	VERB
cana-1756	137	4	nonlinear	nonlinear	ADJ
cana-1756	137	5	analysis	analysis	NOUN
cana-1756	137	6	issn	issn	NOUN
cana-1756	137	7	:	:	PUNCT
cana-1756	137	8	1074	1074	NUM
cana-1756	137	9	-	-	PUNCT
cana-1756	137	10	133x	133x	NUM
cana-1756	137	11	vol	vol	NOUN
cana-1756	137	12	32	32	NUM
cana-1756	137	13	no	no	NOUN
cana-1756	137	14	.	.	NOUN
cana-1756	137	15	2	2	NUM
cana-1756	137	16	(	(	PUNCT
cana-1756	137	17	2025	2025	NUM
cana-1756	137	18	)	)	PUNCT
cana-1756	137	19	417	417	NUM
cana-1756	137	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	137	21	figure	figure	NOUN
cana-1756	137	22	4	4	NUM
cana-1756	137	23	.	.	PUNCT
cana-1756	138	1	efficientnetb0	efficientnetb0	NOUN
cana-1756	138	2	architecture	architecture	NOUN
cana-1756	138	3	diagram	diagram	NOUN
cana-1756	138	4	figure	figure	NOUN
cana-1756	138	5	5	5	NUM
cana-1756	138	6	.	.	PUNCT
cana-1756	139	1	efficientnetb7	efficientnetb7	NOUN
cana-1756	139	2	architecture	architecture	NOUN
cana-1756	139	3	diagram	diagram	NOUN
cana-1756	139	4	e.	e.	PROPN
cana-1756	139	5	inceptionresnetv2	inceptionresnetv2	PROPN
cana-1756	139	6	to	to	PART
cana-1756	139	7	make	make	VERB
cana-1756	139	8	training	training	NOUN
cana-1756	139	9	very	very	ADV
cana-1756	139	10	deep	deep	ADJ
cana-1756	139	11	networks	network	NOUN
cana-1756	139	12	easier	easy	ADJ
cana-1756	139	13	,	,	PUNCT
cana-1756	139	14	the	the	DET
cana-1756	139	15	inceptionresnetv2	inceptionresnetv2	PROPN
cana-1756	139	16	hybrid	hybrid	NOUN
cana-1756	139	17	's	's	PART
cana-1756	139	18	inception	inception	NOUN
cana-1756	139	19	design	design	NOUN
cana-1756	139	20	includes	include	VERB
cana-1756	139	21	extra	extra	ADJ
cana-1756	139	22	residual	residual	ADJ
cana-1756	139	23	connections	connection	NOUN
cana-1756	139	24	in	in	ADP
cana-1756	139	25	the	the	DET
cana-1756	139	26	inception	inception	NOUN
cana-1756	139	27	model	model	NOUN
cana-1756	139	28	.	.	PUNCT
cana-1756	140	1	in	in	ADP
cana-1756	140	2	addition	addition	NOUN
cana-1756	140	3	,	,	PUNCT
cana-1756	140	4	a	a	DET
cana-1756	140	5	number	number	NOUN
cana-1756	140	6	of	of	ADP
cana-1756	140	7	convolutional	convolutional	ADJ
cana-1756	140	8	layers	layer	NOUN
cana-1756	140	9	with	with	ADP
cana-1756	140	10	various	various	ADJ
cana-1756	140	11	filter	filter	NOUN
cana-1756	140	12	sizes	size	NOUN
cana-1756	140	13	and	and	CCONJ
cana-1756	140	14	residual	residual	ADJ
cana-1756	140	15	blocks	block	NOUN
cana-1756	140	16	are	be	AUX
cana-1756	140	17	employed	employ	VERB
cana-1756	140	18	,	,	PUNCT
cana-1756	140	19	along	along	ADP
cana-1756	140	20	with	with	ADP
cana-1756	140	21	batch	batch	NOUN
cana-1756	140	22	normalization	normalization	NOUN
cana-1756	140	23	.	.	PUNCT
cana-1756	141	1	the	the	DET
cana-1756	141	2	architectural	architectural	ADJ
cana-1756	141	3	schematic	schematic	NOUN
cana-1756	141	4	is	be	AUX
cana-1756	141	5	displayed	display	VERB
cana-1756	141	6	in	in	ADP
cana-1756	141	7	figure	figure	NOUN
cana-1756	141	8	6	6	NUM
cana-1756	141	9	below	below	ADV
cana-1756	141	10	.	.	PUNCT
cana-1756	142	1	application	application	NOUN
cana-1756	142	2	:	:	PUNCT
cana-1756	142	3	beginning	begin	VERB
cana-1756	142	4	applications	application	NOUN
cana-1756	142	5	for	for	ADP
cana-1756	142	6	resnetv2	resnetv2	NOUN
cana-1756	142	7	cover	cover	VERB
cana-1756	142	8	a	a	DET
cana-1756	142	9	wide	wide	ADJ
cana-1756	142	10	range	range	NOUN
cana-1756	142	11	of	of	ADP
cana-1756	142	12	computer	computer	NOUN
cana-1756	142	13	vision	vision	NOUN
cana-1756	142	14	problems	problem	NOUN
cana-1756	142	15	,	,	PUNCT
cana-1756	142	16	such	such	ADJ
cana-1756	142	17	as	as	ADP
cana-1756	142	18	picture	picture	NOUN
cana-1756	142	19	categorization	categorization	NOUN
cana-1756	142	20	and	and	CCONJ
cana-1756	142	21	object	object	NOUN
cana-1756	142	22	recognition	recognition	NOUN
cana-1756	142	23	.	.	PUNCT
cana-1756	143	1	in	in	ADP
cana-1756	143	2	the	the	DET
cana-1756	143	3	context	context	NOUN
cana-1756	143	4	of	of	ADP
cana-1756	143	5	attention	attention	NOUN
cana-1756	143	6	monitoring	monitoring	NOUN
cana-1756	143	7	,	,	PUNCT
cana-1756	143	8	it	it	PRON
cana-1756	143	9	integrates	integrate	VERB
cana-1756	143	10	concepts	concept	NOUN
cana-1756	143	11	from	from	ADP
cana-1756	143	12	resnet	resnet	NOUN
cana-1756	143	13	and	and	CCONJ
cana-1756	143	14	inception	inception	VERB
cana-1756	143	15	to	to	PART
cana-1756	143	16	record	record	VERB
cana-1756	143	17	abrupt	abrupt	ADJ
cana-1756	143	18	and	and	CCONJ
cana-1756	143	19	extended	extended	ADJ
cana-1756	143	20	shifts	shift	NOUN
cana-1756	143	21	in	in	ADP
cana-1756	143	22	gaze	gaze	ADJ
cana-1756	143	23	focus	focus	NOUN
cana-1756	143	24	.	.	PUNCT
cana-1756	144	1	after	after	ADP
cana-1756	144	2	being	be	AUX
cana-1756	144	3	refined	refine	VERB
cana-1756	144	4	and	and	CCONJ
cana-1756	144	5	integrated	integrate	VERB
cana-1756	144	6	with	with	ADP
cana-1756	144	7	their	their	PRON
cana-1756	144	8	unique	unique	ADJ
cana-1756	144	9	characteristics	characteristic	NOUN
cana-1756	144	10	and	and	CCONJ
cana-1756	144	11	structures	structure	NOUN
cana-1756	144	12	in	in	ADP
cana-1756	144	13	the	the	DET
cana-1756	144	14	“	"	PUNCT
cana-1756	144	15	eye	eye	NOUN
cana-1756	144	16	gaze	gaze	NOUN
cana-1756	144	17	for	for	ADP
cana-1756	144	18	monitoring	monitor	VERB
cana-1756	144	19	attention	attention	NOUN
cana-1756	144	20	through	through	ADP
cana-1756	144	21	hybrid	hybrid	ADJ
cana-1756	144	22	ensemble	ensemble	ADJ
cana-1756	144	23	learning	learning	NOUN
cana-1756	144	24	,	,	PUNCT
cana-1756	144	25	”	"	PUNCT
cana-1756	144	26	these	these	DET
cana-1756	144	27	models	model	NOUN
cana-1756	144	28	have	have	VERB
cana-1756	144	29	the	the	DET
cana-1756	144	30	potential	potential	NOUN
cana-1756	144	31	to	to	PART
cana-1756	144	32	develop	develop	VERB
cana-1756	144	33	into	into	ADP
cana-1756	144	34	strong	strong	ADJ
cana-1756	144	35	and	and	CCONJ
cana-1756	144	36	adaptable	adaptable	ADJ
cana-1756	144	37	instruments	instrument	NOUN
cana-1756	144	38	for	for	ADP
cana-1756	144	39	the	the	DET
cana-1756	144	40	registration	registration	NOUN
cana-1756	144	41	and	and	CCONJ
cana-1756	144	42	examination	examination	NOUN
cana-1756	144	43	of	of	ADP
cana-1756	144	44	attention	attention	NOUN
cana-1756	144	45	dynamics	dynamic	NOUN
cana-1756	144	46	in	in	ADP
cana-1756	144	47	a	a	DET
cana-1756	144	48	variety	variety	NOUN
cana-1756	144	49	of	of	ADP
cana-1756	144	50	settings	setting	NOUN
cana-1756	144	51	.	.	PUNCT
cana-1756	145	1	communications	communication	NOUN
cana-1756	145	2	on	on	ADP
cana-1756	145	3	applied	apply	VERB
cana-1756	145	4	nonlinear	nonlinear	ADJ
cana-1756	145	5	analysis	analysis	NOUN
cana-1756	145	6	issn	issn	NOUN
cana-1756	145	7	:	:	PUNCT
cana-1756	145	8	1074	1074	NUM
cana-1756	145	9	-	-	PUNCT
cana-1756	145	10	133x	133x	NUM
cana-1756	145	11	vol	vol	NOUN
cana-1756	145	12	32	32	NUM
cana-1756	145	13	no	no	NOUN
cana-1756	145	14	.	.	NOUN
cana-1756	145	15	2	2	NUM
cana-1756	145	16	(	(	PUNCT
cana-1756	145	17	2025	2025	NUM
cana-1756	145	18	)	)	PUNCT
cana-1756	145	19	418	418	NUM
cana-1756	145	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	145	21	figure	figure	NOUN
cana-1756	145	22	6	6	NUM
cana-1756	145	23	.	.	PUNCT
cana-1756	146	1	inceptionresnetv2	inceptionresnetv2	ADJ
cana-1756	146	2	architecture	architecture	NOUN
cana-1756	146	3	diagram	diagram	NOUN
cana-1756	146	4	f.	f.	PROPN
cana-1756	146	5	xgboost	xgboost	PROPN
cana-1756	147	1	a	a	DET
cana-1756	147	2	few	few	ADJ
cana-1756	147	3	potent	potent	ADJ
cana-1756	147	4	brain	brain	NOUN
cana-1756	147	5	network	network	NOUN
cana-1756	147	6	architectures	architecture	NOUN
cana-1756	147	7	,	,	PUNCT
cana-1756	147	8	including	include	VERB
cana-1756	147	9	vgg16	vgg16	PROPN
cana-1756	147	10	,	,	PUNCT
cana-1756	147	11	vgg19	vgg19	PROPN
cana-1756	147	12	,	,	PUNCT
cana-1756	147	13	inceptionv3	inceptionv3	NOUN
cana-1756	147	14	,	,	PUNCT
cana-1756	147	15	inceptionresnetv2	inceptionresnetv2	PROPN
cana-1756	147	16	,	,	PUNCT
cana-1756	147	17	and	and	CCONJ
cana-1756	147	18	others	other	NOUN
cana-1756	147	19	,	,	PUNCT
cana-1756	147	20	are	be	AUX
cana-1756	147	21	combined	combine	VERB
cana-1756	147	22	to	to	PART
cana-1756	147	23	create	create	VERB
cana-1756	147	24	the	the	DET
cana-1756	147	25	xgboost	xgboost	PROPN
cana-1756	147	26	cross	cross	PROPN
cana-1756	147	27	breed	breed	PROPN
cana-1756	147	28	model	model	NOUN
cana-1756	147	29	.	.	PUNCT
cana-1756	148	1	this	this	DET
cana-1756	148	2	crossbreeding	crossbreed	VERB
cana-1756	148	3	method	method	NOUN
cana-1756	148	4	takes	take	VERB
cana-1756	148	5	the	the	DET
cana-1756	148	6	best	good	ADJ
cana-1756	148	7	and	and	CCONJ
cana-1756	148	8	most	most	ADV
cana-1756	148	9	valuable	valuable	ADJ
cana-1756	148	10	aspects	aspect	NOUN
cana-1756	148	11	from	from	ADP
cana-1756	148	12	several	several	ADJ
cana-1756	148	13	different	different	ADJ
cana-1756	148	14	techniques	technique	NOUN
cana-1756	148	15	to	to	PART
cana-1756	148	16	build	build	VERB
cana-1756	148	17	an	an	DET
cana-1756	148	18	extremely	extremely	ADV
cana-1756	148	19	feasible	feasible	ADJ
cana-1756	148	20	and	and	CCONJ
cana-1756	148	21	usable	usable	ADJ
cana-1756	148	22	model	model	NOUN
cana-1756	148	23	to	to	PART
cana-1756	148	24	perform	perform	VERB
cana-1756	148	25	highly	highly	ADV
cana-1756	148	26	on	on	ADP
cana-1756	148	27	all	all	DET
cana-1756	148	28	ranges	range	NOUN
cana-1756	148	29	of	of	ADP
cana-1756	148	30	ai	ai	ADJ
cana-1756	148	31	jobs	job	NOUN
cana-1756	148	32	.	.	PUNCT
cana-1756	149	1	prebuilt	prebuilt	NOUN
cana-1756	149	2	models	model	NOUN
cana-1756	149	3	are	be	AUX
cana-1756	149	4	combined	combine	VERB
cana-1756	149	5	with	with	ADP
cana-1756	149	6	the	the	DET
cana-1756	149	7	tendency	tendency	NOUN
cana-1756	149	8	supporting	support	VERB
cana-1756	149	9	xgboost	xgboost	ADJ
cana-1756	149	10	computation	computation	NOUN
cana-1756	149	11	to	to	PART
cana-1756	149	12	improve	improve	VERB
cana-1756	149	13	the	the	DET
cana-1756	149	14	model	model	NOUN
cana-1756	149	15	's	's	PART
cana-1756	149	16	capacity	capacity	NOUN
cana-1756	149	17	to	to	PART
cana-1756	149	18	handle	handle	VERB
cana-1756	149	19	complex	complex	ADJ
cana-1756	149	20	cases	case	NOUN
cana-1756	149	21	,	,	PUNCT
cana-1756	149	22	challenging	challenge	VERB
cana-1756	149	23	highlight	highlight	NOUN
cana-1756	149	24	extraction	extraction	NOUN
cana-1756	149	25	,	,	PUNCT
cana-1756	149	26	and	and	CCONJ
cana-1756	149	27	precise	precise	ADJ
cana-1756	149	28	requirements	requirement	NOUN
cana-1756	149	29	.	.	PUNCT
cana-1756	150	1	as	as	ADP
cana-1756	150	2	a	a	DET
cana-1756	150	3	result	result	NOUN
cana-1756	150	4	,	,	PUNCT
cana-1756	150	5	these	these	DET
cana-1756	150	6	models	model	NOUN
cana-1756	150	7	are	be	AUX
cana-1756	150	8	integrated	integrate	VERB
cana-1756	150	9	in	in	ADP
cana-1756	150	10	a	a	DET
cana-1756	150	11	way	way	NOUN
cana-1756	150	12	that	that	PRON
cana-1756	150	13	creates	create	VERB
cana-1756	150	14	a	a	DET
cana-1756	150	15	new	new	ADJ
cana-1756	150	16	group	group	NOUN
cana-1756	150	17	strategy	strategy	NOUN
cana-1756	150	18	that	that	PRON
cana-1756	150	19	makes	make	VERB
cana-1756	150	20	use	use	NOUN
cana-1756	150	21	of	of	ADP
cana-1756	150	22	the	the	DET
cana-1756	150	23	many	many	ADJ
cana-1756	150	24	element	element	NOUN
cana-1756	150	25	representations	representation	NOUN
cana-1756	150	26	that	that	PRON
cana-1756	150	27	each	each	DET
cana-1756	150	28	component	component	NOUN
cana-1756	150	29	design	design	NOUN
cana-1756	150	30	has	have	AUX
cana-1756	150	31	learned	learn	VERB
cana-1756	150	32	.	.	PUNCT
cana-1756	151	1	the	the	DET
cana-1756	151	2	xgboost	xgboost	PROPN
cana-1756	151	3	hybrid	hybrid	PROPN
cana-1756	151	4	model	model	NOUN
cana-1756	151	5	's	's	PART
cana-1756	151	6	pre	pre	ADJ
cana-1756	151	7	-	-	ADJ
cana-1756	151	8	trained	train	VERB
cana-1756	151	9	neural	neural	ADJ
cana-1756	151	10	networks	network	NOUN
cana-1756	151	11	'	'	PART
cana-1756	151	12	learning	learn	VERB
cana-1756	151	13	transfer	transfer	NOUN
cana-1756	151	14	characteristics	characteristic	NOUN
cana-1756	151	15	allow	allow	VERB
cana-1756	151	16	it	it	PRON
cana-1756	151	17	to	to	PART
cana-1756	151	18	generalize	generalize	VERB
cana-1756	151	19	effectively	effectively	ADV
cana-1756	151	20	for	for	ADP
cana-1756	151	21	a	a	DET
cana-1756	151	22	variety	variety	NOUN
cana-1756	151	23	of	of	ADP
cana-1756	151	24	data	datum	NOUN
cana-1756	151	25	domains	domain	NOUN
cana-1756	151	26	,	,	PUNCT
cana-1756	151	27	including	include	VERB
cana-1756	151	28	object	object	NOUN
cana-1756	151	29	detection	detection	NOUN
cana-1756	151	30	and	and	CCONJ
cana-1756	151	31	picture	picture	NOUN
cana-1756	151	32	categorization	categorization	NOUN
cana-1756	151	33	.	.	PUNCT
cana-1756	152	1	by	by	ADP
cana-1756	152	2	combining	combine	VERB
cana-1756	152	3	the	the	DET
cana-1756	152	4	two	two	NUM
cana-1756	152	5	models	model	NOUN
cana-1756	152	6	into	into	ADP
cana-1756	152	7	a	a	DET
cana-1756	152	8	single	single	ADJ
cana-1756	152	9	,	,	PUNCT
cana-1756	152	10	integrated	integrated	ADJ
cana-1756	152	11	framework	framework	NOUN
cana-1756	152	12	,	,	PUNCT
cana-1756	152	13	the	the	DET
cana-1756	152	14	xgboost	xgboost	X
cana-1756	153	1	[	[	X
cana-1756	153	2	21	21	NUM
cana-1756	153	3	]	]	X
cana-1756	153	4	hybrid	hybrid	ADJ
cana-1756	153	5	technique	technique	NOUN
cana-1756	153	6	works	work	VERB
cana-1756	153	7	to	to	PART
cana-1756	153	8	improve	improve	VERB
cana-1756	153	9	both	both	DET
cana-1756	153	10	models	model	NOUN
cana-1756	153	11	'	'	PART
cana-1756	153	12	accuracy	accuracy	NOUN
cana-1756	153	13	and	and	CCONJ
cana-1756	153	14	robustness	robustness	NOUN
cana-1756	153	15	.	.	PUNCT
cana-1756	154	1	this	this	PRON
cana-1756	154	2	allows	allow	VERB
cana-1756	154	3	the	the	DET
cana-1756	154	4	two	two	NUM
cana-1756	154	5	models	model	NOUN
cana-1756	154	6	to	to	PART
cana-1756	154	7	work	work	VERB
cana-1756	154	8	together	together	ADV
cana-1756	154	9	in	in	ADP
cana-1756	154	10	a	a	DET
cana-1756	154	11	flexible	flexible	ADJ
cana-1756	154	12	and	and	CCONJ
cana-1756	154	13	effective	effective	ADJ
cana-1756	154	14	solution	solution	NOUN
cana-1756	154	15	that	that	PRON
cana-1756	154	16	can	can	AUX
cana-1756	154	17	thrive	thrive	VERB
cana-1756	154	18	in	in	ADP
cana-1756	154	19	a	a	DET
cana-1756	154	20	variety	variety	NOUN
cana-1756	154	21	of	of	ADP
cana-1756	154	22	modern	modern	ADJ
cana-1756	154	23	machine	machine	NOUN
cana-1756	154	24	learning	learn	VERB
cana-1756	154	25	application	application	NOUN
cana-1756	154	26	contexts	contexts	NOUN
cana-1756	154	27	.	.	PUNCT
cana-1756	155	1	4	4	X
cana-1756	155	2	.	.	X
cana-1756	155	3	experimental	experimental	ADJ
cana-1756	155	4	framework	framework	PROPN
cana-1756	155	5	a.	a.	NOUN
cana-1756	155	6	dataset	dataset	VERB
cana-1756	155	7	the	the	DET
cana-1756	155	8	kaggle	kaggle	ADJ
cana-1756	155	9	version	version	NOUN
cana-1756	155	10	of	of	ADP
cana-1756	155	11	the	the	DET
cana-1756	155	12	dataset	dataset	NOUN
cana-1756	155	13	has	have	VERB
cana-1756	155	14	2,936	2,936	NUM
cana-1756	155	15	jpeg	jpeg	NOUN
cana-1756	155	16	images	image	NOUN
cana-1756	155	17	with	with	ADP
cana-1756	155	18	a	a	DET
cana-1756	155	19	resolution	resolution	NOUN
cana-1756	155	20	of	of	ADP
cana-1756	155	21	224x224	224x224	NUM
cana-1756	155	22	pixels	pixel	NOUN
cana-1756	155	23	,	,	PUNCT
cana-1756	155	24	and	and	CCONJ
cana-1756	155	25	two	two	NUM
cana-1756	155	26	class	class	NOUN
cana-1756	155	27	labels	label	NOUN
cana-1756	155	28	applied	apply	VERB
cana-1756	155	29	to	to	ADP
cana-1756	155	30	each	each	DET
cana-1756	155	31	image	image	NOUN
cana-1756	155	32	:	:	PUNCT
cana-1756	155	33	autistic	autistic	ADJ
cana-1756	155	34	and	and	CCONJ
cana-1756	155	35	non	non	ADJ
cana-1756	155	36	-	-	ADJ
cana-1756	155	37	autistic	autistic	ADJ
cana-1756	155	38	.	.	PUNCT
cana-1756	156	1	renaming	rename	VERB
cana-1756	156	2	the	the	DET
cana-1756	156	3	files	file	NOUN
cana-1756	156	4	helped	help	VERB
cana-1756	156	5	them	they	PRON
cana-1756	156	6	become	become	VERB
cana-1756	156	7	more	more	ADV
cana-1756	156	8	organized	organized	ADJ
cana-1756	156	9	.	.	PUNCT
cana-1756	157	1	targeting	target	VERB
cana-1756	157	2	younger	young	ADJ
cana-1756	157	3	age	age	NOUN
cana-1756	157	4	groups	group	NOUN
cana-1756	157	5	,	,	PUNCT
cana-1756	157	6	the	the	DET
cana-1756	157	7	dataset	dataset	NOUN
cana-1756	157	8	contains	contain	VERB
cana-1756	157	9	photos	photo	NOUN
cana-1756	157	10	of	of	ADP
cana-1756	157	11	children	child	NOUN
cana-1756	157	12	who	who	PRON
cana-1756	157	13	are	be	AUX
cana-1756	157	14	autistic	autistic	ADJ
cana-1756	157	15	as	as	ADV
cana-1756	157	16	well	well	ADV
cana-1756	157	17	as	as	ADP
cana-1756	157	18	those	those	PRON
cana-1756	157	19	who	who	PRON
cana-1756	157	20	are	be	AUX
cana-1756	157	21	not	not	PART
cana-1756	157	22	.	.	PUNCT
cana-1756	158	1	it	it	PRON
cana-1756	158	2	has	have	VERB
cana-1756	158	3	pictures	picture	NOUN
cana-1756	158	4	of	of	ADP
cana-1756	158	5	boys	boy	NOUN
cana-1756	158	6	'	'	PART
cana-1756	158	7	and	and	CCONJ
cana-1756	158	8	girls	girl	NOUN
cana-1756	158	9	'	'	PART
cana-1756	158	10	faces	face	NOUN
cana-1756	158	11	on	on	ADP
cana-1756	158	12	it	it	PRON
cana-1756	158	13	.	.	PUNCT
cana-1756	159	1	three	three	NUM
cana-1756	159	2	folders	folder	NOUN
cana-1756	159	3	containing	contain	VERB
cana-1756	159	4	sections	section	NOUN
cana-1756	159	5	for	for	ADP
cana-1756	159	6	people	people	NOUN
cana-1756	159	7	with	with	ADP
cana-1756	159	8	and	and	CCONJ
cana-1756	159	9	without	without	ADP
cana-1756	159	10	autism	autism	NOUN
cana-1756	159	11	comprise	comprise	VERB
cana-1756	159	12	the	the	DET
cana-1756	159	13	train	train	NOUN
cana-1756	159	14	,	,	PUNCT
cana-1756	159	15	validation	validation	NOUN
cana-1756	159	16	,	,	PUNCT
cana-1756	159	17	and	and	CCONJ
cana-1756	159	18	test	test	NOUN
cana-1756	159	19	folders	folder	NOUN
cana-1756	159	20	containing	contain	VERB
cana-1756	159	21	the	the	DET
cana-1756	159	22	data	datum	NOUN
cana-1756	159	23	.	.	PUNCT
cana-1756	160	1	this	this	DET
cana-1756	160	2	dataset	dataset	NOUN
cana-1756	160	3	was	be	AUX
cana-1756	160	4	chosen	choose	VERB
cana-1756	160	5	because	because	SCONJ
cana-1756	160	6	processing	processing	NOUN
cana-1756	160	7	images	image	NOUN
cana-1756	160	8	is	be	AUX
cana-1756	160	9	more	more	ADV
cana-1756	160	10	simpler	simple	ADJ
cana-1756	160	11	than	than	ADP
cana-1756	160	12	processing	process	VERB
cana-1756	160	13	movies	movie	NOUN
cana-1756	160	14	,	,	PUNCT
cana-1756	160	15	and	and	CCONJ
cana-1756	160	16	it	it	PRON
cana-1756	160	17	is	be	AUX
cana-1756	160	18	freely	freely	ADV
cana-1756	160	19	available	available	ADJ
cana-1756	160	20	to	to	ADP
cana-1756	160	21	the	the	DET
cana-1756	160	22	public	public	NOUN
cana-1756	160	23	without	without	ADP
cana-1756	160	24	requiring	require	VERB
cana-1756	160	25	permission	permission	NOUN
cana-1756	160	26	.	.	PUNCT
cana-1756	161	1	b.	b.	PROPN
cana-1756	161	2	methodology	methodology	PROPN
cana-1756	161	3	the	the	DET
cana-1756	161	4	process	process	NOUN
cana-1756	161	5	of	of	ADP
cana-1756	161	6	developing	develop	VERB
cana-1756	161	7	the	the	DET
cana-1756	161	8	"	"	PUNCT
cana-1756	161	9	eye	eye	NOUN
cana-1756	161	10	gaze	gaze	NOUN
cana-1756	161	11	for	for	ADP
cana-1756	161	12	monitoring	monitor	VERB
cana-1756	161	13	attention	attention	NOUN
cana-1756	161	14	through	through	ADP
cana-1756	161	15	hybrid	hybrid	ADJ
cana-1756	161	16	ensemble	ensemble	ADJ
cana-1756	161	17	learning	learning	NOUN
cana-1756	161	18	"	"	PUNCT
cana-1756	161	19	may	may	AUX
cana-1756	161	20	be	be	AUX
cana-1756	161	21	broken	break	VERB
cana-1756	161	22	down	down	ADP
cana-1756	161	23	into	into	ADP
cana-1756	161	24	several	several	ADJ
cana-1756	161	25	stages	stage	NOUN
cana-1756	161	26	,	,	PUNCT
cana-1756	161	27	including	include	VERB
cana-1756	161	28	the	the	DET
cana-1756	161	29	creation	creation	NOUN
cana-1756	161	30	,	,	PUNCT
cana-1756	161	31	refinement	refinement	NOUN
cana-1756	161	32	,	,	PUNCT
cana-1756	161	33	and	and	CCONJ
cana-1756	161	34	testing	testing	NOUN
cana-1756	161	35	of	of	ADP
cana-1756	161	36	the	the	DET
cana-1756	161	37	model	model	NOUN
cana-1756	161	38	.	.	PUNCT
cana-1756	162	1	to	to	PART
cana-1756	162	2	begin	begin	VERB
cana-1756	162	3	,	,	PUNCT
cana-1756	162	4	we	we	PRON
cana-1756	162	5	carried	carry	VERB
cana-1756	162	6	out	out	ADP
cana-1756	162	7	the	the	DET
cana-1756	162	8	following	follow	VERB
cana-1756	162	9	methods	method	NOUN
cana-1756	162	10	on	on	ADP
cana-1756	162	11	the	the	DET
cana-1756	162	12	subsequent	subsequent	ADJ
cana-1756	162	13	six	six	NUM
cana-1756	162	14	pre	pre	ADJ
cana-1756	162	15	-	-	ADJ
cana-1756	162	16	trained	train	VERB
cana-1756	162	17	models	model	NOUN
cana-1756	162	18	:	:	PUNCT
cana-1756	162	19	vgg16	vgg16	PROPN
cana-1756	162	20	,	,	PUNCT
cana-1756	162	21	vgg19	vgg19	PROPN
cana-1756	162	22	,	,	PUNCT
cana-1756	162	23	inceptionv3	inceptionv3	NOUN
cana-1756	162	24	,	,	PUNCT
cana-1756	162	25	efficientnetb0	efficientnetb0	NOUN
cana-1756	162	26	,	,	PUNCT
cana-1756	162	27	efficientnetb7	efficientnetb7	ADV
cana-1756	162	28	,	,	PUNCT
cana-1756	162	29	and	and	CCONJ
cana-1756	162	30	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	163	1	[	[	X
cana-1756	163	2	16	16	NUM
cana-1756	163	3	]	]	PUNCT
cana-1756	163	4	.	.	PUNCT
cana-1756	164	1	this	this	PRON
cana-1756	164	2	was	be	AUX
cana-1756	164	3	communications	communication	NOUN
cana-1756	164	4	on	on	ADP
cana-1756	164	5	applied	apply	VERB
cana-1756	164	6	nonlinear	nonlinear	ADJ
cana-1756	164	7	analysis	analysis	NOUN
cana-1756	164	8	issn	issn	NOUN
cana-1756	164	9	:	:	PUNCT
cana-1756	164	10	1074	1074	NUM
cana-1756	164	11	-	-	PUNCT
cana-1756	164	12	133x	133x	NUM
cana-1756	164	13	vol	vol	NOUN
cana-1756	164	14	32	32	NUM
cana-1756	164	15	no	no	NOUN
cana-1756	164	16	.	.	NOUN
cana-1756	164	17	2	2	NUM
cana-1756	164	18	(	(	PUNCT
cana-1756	164	19	2025	2025	NUM
cana-1756	164	20	)	)	PUNCT
cana-1756	164	21	419	419	NUM
cana-1756	164	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	164	23	done	do	VERB
cana-1756	164	24	in	in	ADP
cana-1756	164	25	order	order	NOUN
cana-1756	164	26	to	to	PART
cana-1756	164	27	improve	improve	VERB
cana-1756	164	28	the	the	DET
cana-1756	164	29	accuracy	accuracy	NOUN
cana-1756	164	30	of	of	ADP
cana-1756	164	31	the	the	DET
cana-1756	164	32	models	model	NOUN
cana-1756	164	33	as	as	ADV
cana-1756	164	34	well	well	ADV
cana-1756	164	35	as	as	ADP
cana-1756	164	36	other	other	ADJ
cana-1756	164	37	assessment	assessment	NOUN
cana-1756	164	38	metrics	metric	NOUN
cana-1756	164	39	.	.	PUNCT
cana-1756	165	1	all	all	PRON
cana-1756	165	2	of	of	ADP
cana-1756	165	3	the	the	DET
cana-1756	165	4	evaluation	evaluation	NOUN
cana-1756	165	5	indicators	indicator	NOUN
cana-1756	165	6	have	have	AUX
cana-1756	165	7	been	be	AUX
cana-1756	165	8	produced	produce	VERB
cana-1756	165	9	as	as	ADP
cana-1756	165	10	a	a	DET
cana-1756	165	11	result	result	NOUN
cana-1756	165	12	of	of	ADP
cana-1756	165	13	the	the	DET
cana-1756	165	14	work	work	NOUN
cana-1756	165	15	that	that	PRON
cana-1756	165	16	has	have	AUX
cana-1756	165	17	been	be	AUX
cana-1756	165	18	completed	complete	VERB
cana-1756	165	19	.	.	PUNCT
cana-1756	166	1	in	in	ADP
cana-1756	166	2	the	the	DET
cana-1756	166	3	following	following	ADJ
cana-1756	166	4	step	step	NOUN
cana-1756	166	5	,	,	PUNCT
cana-1756	166	6	we	we	PRON
cana-1756	166	7	utilized	utilize	VERB
cana-1756	166	8	a	a	DET
cana-1756	166	9	hybrid	hybrid	ADJ
cana-1756	166	10	model	model	NOUN
cana-1756	166	11	technique	technique	NOUN
cana-1756	166	12	by	by	ADP
cana-1756	166	13	combining	combine	VERB
cana-1756	166	14	this	this	PRON
cana-1756	166	15	xgboost	xgboost	ADV
cana-1756	166	16	with	with	ADP
cana-1756	166	17	these	these	DET
cana-1756	166	18	six	six	NUM
cana-1756	166	19	pretrained	pretraine	VERB
cana-1756	166	20	models	model	NOUN
cana-1756	166	21	in	in	ADP
cana-1756	166	22	an	an	DET
cana-1756	166	23	effort	effort	NOUN
cana-1756	166	24	to	to	PART
cana-1756	166	25	find	find	VERB
cana-1756	166	26	methods	method	NOUN
cana-1756	166	27	that	that	PRON
cana-1756	166	28	are	be	AUX
cana-1756	166	29	comparable	comparable	ADJ
cana-1756	166	30	to	to	ADP
cana-1756	166	31	those	those	PRON
cana-1756	166	32	described	describe	VERB
cana-1756	166	33	below	below	ADV
cana-1756	166	34	.	.	PUNCT
cana-1756	167	1	through	through	ADP
cana-1756	167	2	the	the	DET
cana-1756	167	3	utilization	utilization	NOUN
cana-1756	167	4	of	of	ADP
cana-1756	167	5	this	this	DET
cana-1756	167	6	strategy	strategy	NOUN
cana-1756	167	7	,	,	PUNCT
cana-1756	167	8	as	as	SCONJ
cana-1756	167	9	demonstrated	demonstrate	VERB
cana-1756	167	10	above	above	ADV
cana-1756	167	11	,	,	PUNCT
cana-1756	167	12	we	we	PRON
cana-1756	167	13	were	be	AUX
cana-1756	167	14	able	able	ADJ
cana-1756	167	15	to	to	PART
cana-1756	167	16	acquire	acquire	VERB
cana-1756	167	17	all	all	PRON
cana-1756	167	18	of	of	ADP
cana-1756	167	19	the	the	DET
cana-1756	167	20	evaluation	evaluation	NOUN
cana-1756	167	21	metrics	metric	NOUN
cana-1756	167	22	.	.	PUNCT
cana-1756	168	1	consequently	consequently	ADV
cana-1756	168	2	,	,	PUNCT
cana-1756	168	3	the	the	DET
cana-1756	168	4	following	follow	VERB
cana-1756	168	5	is	be	AUX
cana-1756	168	6	a	a	DET
cana-1756	168	7	generic	generic	ADJ
cana-1756	168	8	project	project	NOUN
cana-1756	168	9	approach	approach	NOUN
cana-1756	168	10	that	that	PRON
cana-1756	168	11	you	you	PRON
cana-1756	168	12	can	can	AUX
cana-1756	168	13	use	use	VERB
cana-1756	168	14	for	for	ADP
cana-1756	168	15	this	this	DET
cana-1756	168	16	kind	kind	NOUN
cana-1756	168	17	of	of	ADP
cana-1756	168	18	work	work	NOUN
cana-1756	168	19	:	:	PUNCT
cana-1756	168	20	•	•	NUM
cana-1756	168	21	data	data	NOUN
cana-1756	168	22	collection	collection	NOUN
cana-1756	168	23	:	:	PUNCT
cana-1756	168	24	this	this	PRON
cana-1756	168	25	can	can	AUX
cana-1756	168	26	be	be	AUX
cana-1756	168	27	accomplished	accomplish	VERB
cana-1756	168	28	by	by	ADP
cana-1756	168	29	recording	record	VERB
cana-1756	168	30	eye	eye	NOUN
cana-1756	168	31	movements	movement	NOUN
cana-1756	168	32	in	in	ADP
cana-1756	168	33	reference	reference	NOUN
cana-1756	168	34	to	to	ADP
cana-1756	168	35	the	the	DET
cana-1756	168	36	appropriate	appropriate	ADJ
cana-1756	168	37	sources	source	NOUN
cana-1756	168	38	of	of	ADP
cana-1756	168	39	eye	eye	NOUN
cana-1756	168	40	-	-	PUNCT
cana-1756	168	41	gazing	gaze	VERB
cana-1756	168	42	information	information	NOUN
cana-1756	168	43	or	or	CCONJ
cana-1756	168	44	by	by	ADP
cana-1756	168	45	conducting	conduct	VERB
cana-1756	168	46	controlled	control	VERB
cana-1756	168	47	trials	trial	NOUN
cana-1756	168	48	.	.	PUNCT
cana-1756	169	1	if	if	SCONJ
cana-1756	169	2	the	the	DET
cana-1756	169	3	data	datum	NOUN
cana-1756	169	4	collecting	collecting	NOUN
cana-1756	169	5	is	be	AUX
cana-1756	169	6	going	go	VERB
cana-1756	169	7	to	to	PART
cana-1756	169	8	be	be	AUX
cana-1756	169	9	done	do	VERB
cana-1756	169	10	on	on	ADP
cana-1756	169	11	humans	human	NOUN
cana-1756	169	12	,	,	PUNCT
cana-1756	169	13	then	then	ADV
cana-1756	169	14	it	it	PRON
cana-1756	169	15	should	should	AUX
cana-1756	169	16	be	be	AUX
cana-1756	169	17	done	do	VERB
cana-1756	169	18	in	in	ADP
cana-1756	169	19	a	a	DET
cana-1756	169	20	responsible	responsible	ADJ
cana-1756	169	21	manner	manner	NOUN
cana-1756	169	22	,	,	PUNCT
cana-1756	169	23	which	which	PRON
cana-1756	169	24	means	mean	VERB
cana-1756	169	25	adhering	adhere	VERB
cana-1756	169	26	to	to	ADP
cana-1756	169	27	regulations	regulation	NOUN
cana-1756	169	28	regarding	regard	VERB
cana-1756	169	29	privacy	privacy	NOUN
cana-1756	169	30	and	and	CCONJ
cana-1756	169	31	informed	inform	VERB
cana-1756	169	32	permission.be	permission.be	NOUN
cana-1756	169	33	sure	sure	ADJ
cana-1756	169	34	not	not	PART
cana-1756	169	35	to	to	PART
cana-1756	169	36	confuse	confuse	VERB
cana-1756	169	37	complete	complete	ADJ
cana-1756	169	38	spellings	spelling	NOUN
cana-1756	169	39	with	with	ADP
cana-1756	169	40	abbreviations	abbreviation	NOUN
cana-1756	169	41	of	of	ADP
cana-1756	169	42	units	unit	NOUN
cana-1756	169	43	:	:	PUNCT
cana-1756	169	44	"	"	PUNCT
cana-1756	169	45	wb	wb	PROPN
cana-1756	169	46	/	/	SYM
cana-1756	169	47	m2	m2	PROPN
cana-1756	169	48	"	"	PUNCT
cana-1756	169	49	or	or	CCONJ
cana-1756	169	50	"	"	PUNCT
cana-1756	169	51	webers	weber	NOUN
cana-1756	169	52	per	per	ADP
cana-1756	169	53	square	square	ADJ
cana-1756	169	54	meter	meter	NOUN
cana-1756	169	55	"	"	PUNCT
cana-1756	169	56	should	should	AUX
cana-1756	169	57	be	be	AUX
cana-1756	169	58	used	use	VERB
cana-1756	169	59	instead	instead	ADV
cana-1756	169	60	of	of	ADP
cana-1756	169	61	"	"	PUNCT
cana-1756	169	62	webers	weber	NOUN
cana-1756	169	63	/	/	SYM
cana-1756	169	64	m2	m2	PROPN
cana-1756	169	65	.	.	PUNCT
cana-1756	169	66	"	"	PUNCT
cana-1756	170	1	whenever	whenever	SCONJ
cana-1756	170	2	units	unit	NOUN
cana-1756	170	3	are	be	AUX
cana-1756	170	4	mentioned	mention	VERB
cana-1756	170	5	in	in	ADP
cana-1756	170	6	the	the	DET
cana-1756	170	7	text	text	NOUN
cana-1756	170	8	,	,	PUNCT
cana-1756	170	9	they	they	PRON
cana-1756	170	10	should	should	AUX
cana-1756	170	11	be	be	AUX
cana-1756	170	12	spelled	spell	VERB
cana-1756	170	13	out	out	ADP
cana-1756	170	14	:	:	PUNCT
cana-1756	170	15	"	"	PUNCT
cana-1756	170	16	...	...	PUNCT
cana-1756	170	17	a	a	DET
cana-1756	170	18	few	few	ADJ
cana-1756	170	19	henries	henry	NOUN
cana-1756	170	20	"	"	PUNCT
cana-1756	170	21	rather	rather	ADV
cana-1756	170	22	than	than	ADP
cana-1756	170	23	"	"	PUNCT
cana-1756	170	24	...	...	PUNCT
cana-1756	170	25	a	a	DET
cana-1756	170	26	few	few	ADJ
cana-1756	170	27	h.	h.	NOUN
cana-1756	170	28	"	"	PUNCT
cana-1756	170	29	•	•	NOUN
cana-1756	170	30	preprocessing	preprocesse	VERB
cana-1756	170	31	data	datum	NOUN
cana-1756	170	32	:	:	PUNCT
cana-1756	170	33	cleaning	clean	VERB
cana-1756	170	34	and	and	CCONJ
cana-1756	170	35	preparing	prepare	VERB
cana-1756	170	36	the	the	DET
cana-1756	170	37	eye	eye	NOUN
cana-1756	170	38	gaze	gaze	NOUN
cana-1756	170	39	data	datum	NOUN
cana-1756	170	40	should	should	AUX
cana-1756	170	41	include	include	VERB
cana-1756	170	42	missing	miss	VERB
cana-1756	170	43	value	value	NOUN
cana-1756	170	44	treatment	treatment	NOUN
cana-1756	170	45	,	,	PUNCT
cana-1756	170	46	noise	noise	NOUN
cana-1756	170	47	reduction	reduction	NOUN
cana-1756	170	48	,	,	PUNCT
cana-1756	170	49	and	and	CCONJ
cana-1756	170	50	improvement	improvement	NOUN
cana-1756	170	51	of	of	ADP
cana-1756	170	52	the	the	DET
cana-1756	170	53	consistency	consistency	NOUN
cana-1756	170	54	of	of	ADP
cana-1756	170	55	the	the	DET
cana-1756	170	56	data	datum	NOUN
cana-1756	170	57	that	that	PRON
cana-1756	170	58	will	will	AUX
cana-1756	170	59	be	be	AUX
cana-1756	170	60	displayed	display	VERB
cana-1756	170	61	.	.	PUNCT
cana-1756	171	1	data	datum	NOUN
cana-1756	171	2	alignment	alignment	NOUN
cana-1756	171	3	and	and	CCONJ
cana-1756	171	4	calibration	calibration	NOUN
cana-1756	171	5	may	may	AUX
cana-1756	171	6	also	also	ADV
cana-1756	171	7	be	be	AUX
cana-1756	171	8	necessary	necessary	ADJ
cana-1756	171	9	for	for	ADP
cana-1756	171	10	the	the	DET
cana-1756	171	11	pre	pre	NOUN
cana-1756	171	12	-	-	NOUN
cana-1756	171	13	processing	processing	NOUN
cana-1756	171	14	of	of	ADP
cana-1756	171	15	the	the	DET
cana-1756	171	16	data	datum	NOUN
cana-1756	171	17	[	[	X
cana-1756	171	18	17	17	NUM
cana-1756	171	19	]	]	PUNCT
cana-1756	171	20	.	.	PUNCT
cana-1756	172	1	•	•	NUM
cana-1756	172	2	data	datum	NOUN
cana-1756	172	3	augmentation	augmentation	NOUN
cana-1756	172	4	:	:	PUNCT
cana-1756	172	5	to	to	PART
cana-1756	172	6	provide	provide	VERB
cana-1756	172	7	more	more	ADJ
cana-1756	172	8	variety	variety	NOUN
cana-1756	172	9	to	to	ADP
cana-1756	172	10	the	the	DET
cana-1756	172	11	dataset	dataset	NOUN
cana-1756	172	12	,	,	PUNCT
cana-1756	172	13	perform	perform	VERB
cana-1756	172	14	operations	operation	NOUN
cana-1756	172	15	on	on	ADP
cana-1756	172	16	data	datum	NOUN
cana-1756	172	17	augmentation	augmentation	NOUN
cana-1756	172	18	such	such	ADJ
cana-1756	172	19	as	as	ADP
cana-1756	172	20	rotation	rotation	NOUN
cana-1756	172	21	,	,	PUNCT
cana-1756	172	22	rescaling	rescaling	NOUN
cana-1756	172	23	,	,	PUNCT
cana-1756	172	24	shifting	shifting	NOUN
cana-1756	172	25	,	,	PUNCT
cana-1756	172	26	shearing	shearing	NOUN
cana-1756	172	27	,	,	PUNCT
cana-1756	172	28	flipping	flip	VERB
cana-1756	172	29	,	,	PUNCT
cana-1756	172	30	and	and	CCONJ
cana-1756	172	31	zooming	zoom	VERB
cana-1756	172	32	.	.	PUNCT
cana-1756	173	1	by	by	ADP
cana-1756	173	2	adding	add	VERB
cana-1756	173	3	more	more	ADJ
cana-1756	173	4	features	feature	NOUN
cana-1756	173	5	,	,	PUNCT
cana-1756	173	6	the	the	DET
cana-1756	173	7	model	model	NOUN
cana-1756	173	8	becomes	become	VERB
cana-1756	173	9	more	more	ADV
cana-1756	173	10	resilient	resilient	ADJ
cana-1756	173	11	to	to	ADP
cana-1756	173	12	naturally	naturally	ADV
cana-1756	173	13	occurring	occur	VERB
cana-1756	173	14	random	random	ADJ
cana-1756	173	15	changes	change	NOUN
cana-1756	173	16	and	and	CCONJ
cana-1756	173	17	is	be	AUX
cana-1756	173	18	therefore	therefore	ADV
cana-1756	173	19	better	well	ADV
cana-1756	173	20	able	able	ADJ
cana-1756	173	21	to	to	PART
cana-1756	173	22	generalize	generalize	VERB
cana-1756	173	23	.	.	PUNCT
cana-1756	174	1	•	•	NUM
cana-1756	174	2	model	model	NOUN
cana-1756	174	3	choice	choice	NOUN
cana-1756	174	4	:	:	PUNCT
cana-1756	174	5	decide	decide	VERB
cana-1756	174	6	on	on	ADP
cana-1756	174	7	a	a	DET
cana-1756	174	8	pre	pre	ADJ
cana-1756	174	9	-	-	ADJ
cana-1756	174	10	trained	train	VERB
cana-1756	174	11	deep	deep	ADJ
cana-1756	174	12	learning	learning	NOUN
cana-1756	174	13	model	model	NOUN
cana-1756	174	14	to	to	PART
cana-1756	174	15	serve	serve	VERB
cana-1756	174	16	as	as	ADP
cana-1756	174	17	the	the	DET
cana-1756	174	18	hybrid	hybrid	NOUN
cana-1756	174	19	model	model	NOUN
cana-1756	174	20	's	's	PART
cana-1756	174	21	foundation	foundation	NOUN
cana-1756	174	22	.	.	PUNCT
cana-1756	175	1	as	as	SCONJ
cana-1756	175	2	was	be	AUX
cana-1756	175	3	already	already	ADV
cana-1756	175	4	mentioned	mention	VERB
cana-1756	175	5	[	[	X
cana-1756	175	6	18	18	NUM
cana-1756	175	7	]	]	PUNCT
cana-1756	175	8	,	,	PUNCT
cana-1756	175	9	well	well	ADV
cana-1756	175	10	-	-	PUNCT
cana-1756	175	11	known	know	VERB
cana-1756	175	12	pre	pre	ADJ
cana-1756	175	13	-	-	ADJ
cana-1756	175	14	trained	train	VERB
cana-1756	175	15	deep	deep	ADJ
cana-1756	175	16	learning	learning	NOUN
cana-1756	175	17	models	model	NOUN
cana-1756	175	18	are	be	AUX
cana-1756	175	19	vgg16	vgg16	PROPN
cana-1756	175	20	,	,	PUNCT
cana-1756	175	21	vgg19	vgg19	PROPN
cana-1756	175	22	,	,	PUNCT
cana-1756	175	23	inceptionv3	inceptionv3	NOUN
cana-1756	175	24	,	,	PUNCT
cana-1756	175	25	efficientnetb0	efficientnetb0	NOUN
cana-1756	175	26	,	,	PUNCT
cana-1756	175	27	efficientnetb7	efficientnetb7	ADV
cana-1756	175	28	,	,	PUNCT
cana-1756	175	29	and	and	CCONJ
cana-1756	175	30	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	175	31	.	.	PUNCT
cana-1756	176	1	•	•	NUM
cana-1756	176	2	model	model	NOUN
cana-1756	176	3	architecture	architecture	NOUN
cana-1756	176	4	:	:	PUNCT
cana-1756	176	5	following	follow	VERB
cana-1756	176	6	the	the	DET
cana-1756	176	7	selection	selection	NOUN
cana-1756	176	8	of	of	ADP
cana-1756	176	9	the	the	DET
cana-1756	176	10	pre	pre	ADJ
cana-1756	176	11	-	-	ADJ
cana-1756	176	12	trained	train	VERB
cana-1756	176	13	models	model	NOUN
cana-1756	176	14	,	,	PUNCT
cana-1756	176	15	it	it	PRON
cana-1756	176	16	would	would	AUX
cana-1756	176	17	be	be	AUX
cana-1756	176	18	appropriate	appropriate	ADJ
cana-1756	176	19	to	to	PART
cana-1756	176	20	incorporate	incorporate	VERB
cana-1756	176	21	additional	additional	ADJ
cana-1756	176	22	layers	layer	NOUN
cana-1756	176	23	into	into	ADP
cana-1756	176	24	your	your	PRON
cana-1756	176	25	hybrid	hybrid	ADJ
cana-1756	176	26	model	model	NOUN
cana-1756	176	27	in	in	ADP
cana-1756	176	28	order	order	NOUN
cana-1756	176	29	to	to	PART
cana-1756	176	30	track	track	VERB
cana-1756	176	31	attention	attention	NOUN
cana-1756	176	32	.	.	PUNCT
cana-1756	177	1	it	it	PRON
cana-1756	177	2	is	be	AUX
cana-1756	177	3	possible	possible	ADJ
cana-1756	177	4	that	that	SCONJ
cana-1756	177	5	this	this	DET
cana-1756	177	6	architecture	architecture	NOUN
cana-1756	177	7	comprises	comprise	VERB
cana-1756	177	8	convolutional	convolutional	ADJ
cana-1756	177	9	layers	layer	NOUN
cana-1756	177	10	,	,	PUNCT
cana-1756	177	11	recurrent	recurrent	ADJ
cana-1756	177	12	layers	layer	NOUN
cana-1756	177	13	,	,	PUNCT
cana-1756	177	14	and	and	CCONJ
cana-1756	177	15	fully	fully	ADV
cana-1756	177	16	linked	link	VERB
cana-1756	177	17	layers	layer	NOUN
cana-1756	177	18	,	,	PUNCT
cana-1756	177	19	all	all	PRON
cana-1756	177	20	of	of	ADP
cana-1756	177	21	which	which	PRON
cana-1756	177	22	are	be	AUX
cana-1756	177	23	designed	design	VERB
cana-1756	177	24	to	to	PART
cana-1756	177	25	capture	capture	VERB
cana-1756	177	26	attention	attention	NOUN
cana-1756	177	27	-	-	PUNCT
cana-1756	177	28	grabbing	grab	VERB
cana-1756	177	29	characteristics	characteristic	NOUN
cana-1756	177	30	in	in	ADP
cana-1756	177	31	the	the	DET
cana-1756	177	32	appropriate	appropriate	ADJ
cana-1756	177	33	manner	manner	NOUN
cana-1756	177	34	.	.	PUNCT
cana-1756	178	1	•	•	NOUN
cana-1756	178	2	training	training	NOUN
cana-1756	178	3	setup	setup	NOUN
cana-1756	178	4	:	:	PUNCT
cana-1756	178	5	in	in	ADP
cana-1756	178	6	order	order	NOUN
cana-1756	178	7	to	to	PART
cana-1756	178	8	accomplish	accomplish	VERB
cana-1756	178	9	this	this	PRON
cana-1756	178	10	,	,	PUNCT
cana-1756	178	11	it	it	PRON
cana-1756	178	12	may	may	AUX
cana-1756	178	13	be	be	AUX
cana-1756	178	14	necessary	necessary	ADJ
cana-1756	178	15	to	to	PART
cana-1756	178	16	construct	construct	VERB
cana-1756	178	17	the	the	DET
cana-1756	178	18	hybrid	hybrid	ADJ
cana-1756	178	19	model	model	NOUN
cana-1756	178	20	with	with	ADP
cana-1756	178	21	additional	additional	ADJ
cana-1756	178	22	layers	layer	NOUN
cana-1756	178	23	that	that	PRON
cana-1756	178	24	include	include	VERB
cana-1756	178	25	attention	attention	NOUN
cana-1756	178	26	tracking	tracking	NOUN
cana-1756	178	27	.	.	PUNCT
cana-1756	179	1	these	these	DET
cana-1756	179	2	layers	layer	NOUN
cana-1756	179	3	can	can	AUX
cana-1756	179	4	then	then	ADV
cana-1756	179	5	be	be	AUX
cana-1756	179	6	combined	combine	VERB
cana-1756	179	7	with	with	ADP
cana-1756	179	8	the	the	DET
cana-1756	179	9	pre	pre	ADJ
cana-1756	179	10	-	-	ADJ
cana-1756	179	11	trained	train	VERB
cana-1756	179	12	models	model	NOUN
cana-1756	179	13	that	that	PRON
cana-1756	179	14	have	have	AUX
cana-1756	179	15	been	be	AUX
cana-1756	179	16	chosen	choose	VERB
cana-1756	179	17	.	.	PUNCT
cana-1756	180	1	it	it	PRON
cana-1756	180	2	is	be	AUX
cana-1756	180	3	possible	possible	ADJ
cana-1756	180	4	for	for	SCONJ
cana-1756	180	5	the	the	DET
cana-1756	180	6	architecture	architecture	NOUN
cana-1756	180	7	to	to	PART
cana-1756	180	8	incorporate	incorporate	VERB
cana-1756	180	9	convolutional	convolutional	ADJ
cana-1756	180	10	,	,	PUNCT
cana-1756	180	11	recurrent	recurrent	NOUN
cana-1756	180	12	,	,	PUNCT
cana-1756	180	13	and	and	CCONJ
cana-1756	180	14	fully	fully	ADV
cana-1756	180	15	connected	connected	ADJ
cana-1756	180	16	layers	layer	NOUN
cana-1756	180	17	in	in	ADP
cana-1756	180	18	order	order	NOUN
cana-1756	180	19	to	to	PART
cana-1756	180	20	accurately	accurately	ADV
cana-1756	180	21	capture	capture	VERB
cana-1756	180	22	the	the	DET
cana-1756	180	23	attention	attention	NOUN
cana-1756	180	24	features	feature	NOUN
cana-1756	180	25	.	.	PUNCT
cana-1756	181	1	•	•	NUM
cana-1756	181	2	fine	fine	ADV
cana-1756	181	3	-	-	PUNCT
cana-1756	181	4	tuning	tuning	NOUN
cana-1756	181	5	:	:	PUNCT
cana-1756	181	6	by	by	ADP
cana-1756	181	7	combining	combine	VERB
cana-1756	181	8	pre	pre	ADJ
cana-1756	181	9	-	-	ADJ
cana-1756	181	10	trained	train	VERB
cana-1756	181	11	models	model	NOUN
cana-1756	181	12	of	of	ADP
cana-1756	181	13	interest	interest	NOUN
cana-1756	181	14	with	with	ADP
cana-1756	181	15	new	new	ADJ
cana-1756	181	16	attention	attention	NOUN
cana-1756	181	17	-	-	PUNCT
cana-1756	181	18	tracking	track	VERB
cana-1756	181	19	layers	layer	NOUN
cana-1756	181	20	,	,	PUNCT
cana-1756	181	21	it	it	PRON
cana-1756	181	22	is	be	AUX
cana-1756	181	23	possible	possible	ADJ
cana-1756	181	24	to	to	PART
cana-1756	181	25	generate	generate	VERB
cana-1756	181	26	a	a	DET
cana-1756	181	27	hybrid	hybrid	ADJ
cana-1756	181	28	model	model	NOUN
cana-1756	181	29	.	.	PUNCT
cana-1756	182	1	this	this	DET
cana-1756	182	2	architecture	architecture	NOUN
cana-1756	182	3	takes	take	VERB
cana-1756	182	4	into	into	ADP
cana-1756	182	5	consideration	consideration	NOUN
cana-1756	182	6	the	the	DET
cana-1756	182	7	convolutional	convolutional	ADJ
cana-1756	182	8	,	,	PUNCT
cana-1756	182	9	recurrent	recurrent	NOUN
cana-1756	182	10	,	,	PUNCT
cana-1756	182	11	and	and	CCONJ
cana-1756	182	12	fully	fully	ADV
cana-1756	182	13	connected	connected	ADJ
cana-1756	182	14	layers	layer	NOUN
cana-1756	182	15	in	in	ADP
cana-1756	182	16	order	order	NOUN
cana-1756	182	17	to	to	PART
cana-1756	182	18	accommodate	accommodate	VERB
cana-1756	182	19	the	the	DET
cana-1756	182	20	attention	attention	NOUN
cana-1756	182	21	factors	factor	NOUN
cana-1756	182	22	.	.	PUNCT
cana-1756	183	1	these	these	PRON
cana-1756	183	2	are	be	AUX
cana-1756	183	3	the	the	DET
cana-1756	183	4	most	most	ADV
cana-1756	183	5	important	important	ADJ
cana-1756	183	6	elements	element	NOUN
cana-1756	183	7	that	that	PRON
cana-1756	183	8	are	be	AUX
cana-1756	183	9	presented	present	VERB
cana-1756	183	10	for	for	ADP
cana-1756	183	11	consideration	consideration	NOUN
cana-1756	183	12	.	.	PUNCT
cana-1756	184	1	•	•	NUM
cana-1756	184	2	model	model	NOUN
cana-1756	184	3	training	training	NOUN
cana-1756	184	4	:	:	PUNCT
cana-1756	184	5	your	your	PRON
cana-1756	184	6	hybrid	hybrid	ADJ
cana-1756	184	7	model	model	NOUN
cana-1756	184	8	should	should	AUX
cana-1756	184	9	be	be	AUX
cana-1756	184	10	trained	train	VERB
cana-1756	184	11	using	use	VERB
cana-1756	184	12	the	the	DET
cana-1756	184	13	dataset	dataset	NOUN
cana-1756	184	14	that	that	PRON
cana-1756	184	15	has	have	AUX
cana-1756	184	16	been	be	AUX
cana-1756	184	17	preprocessed	preprocesse	VERB
cana-1756	184	18	and	and	CCONJ
cana-1756	184	19	enhanced	enhance	VERB
cana-1756	184	20	.	.	PUNCT
cana-1756	185	1	ensure	ensure	VERB
cana-1756	185	2	that	that	SCONJ
cana-1756	185	3	you	you	PRON
cana-1756	185	4	are	be	AUX
cana-1756	185	5	monitoring	monitor	VERB
cana-1756	185	6	the	the	DET
cana-1756	185	7	kpis	kpis	PROPN
cana-1756	185	8	of	of	ADP
cana-1756	185	9	your	your	PRON
cana-1756	185	10	training	training	NOUN
cana-1756	185	11	process	process	NOUN
cana-1756	185	12	,	,	PUNCT
cana-1756	185	13	such	such	ADJ
cana-1756	185	14	as	as	ADP
cana-1756	185	15	loss	loss	NOUN
cana-1756	185	16	and	and	CCONJ
cana-1756	185	17	accuracy	accuracy	NOUN
cana-1756	185	18	.	.	PUNCT
cana-1756	186	1	in	in	ADP
cana-1756	186	2	order	order	NOUN
cana-1756	186	3	to	to	PART
cana-1756	186	4	enhance	enhance	VERB
cana-1756	186	5	the	the	DET
cana-1756	186	6	efficiency	efficiency	NOUN
cana-1756	186	7	of	of	ADP
cana-1756	186	8	your	your	PRON
cana-1756	186	9	training	training	NOUN
cana-1756	186	10	,	,	PUNCT
cana-1756	186	11	you	you	PRON
cana-1756	186	12	might	might	AUX
cana-1756	186	13	want	want	VERB
cana-1756	186	14	to	to	PART
cana-1756	186	15	consider	consider	VERB
cana-1756	186	16	employing	employ	VERB
cana-1756	186	17	learning	learn	VERB
cana-1756	186	18	rate	rate	NOUN
cana-1756	186	19	plans	plan	NOUN
cana-1756	186	20	or	or	CCONJ
cana-1756	186	21	early	early	ADJ
cana-1756	186	22	stopping	stopping	NOUN
cana-1756	186	23	approaches	approach	NOUN
cana-1756	186	24	.	.	PUNCT
cana-1756	187	1	communications	communication	NOUN
cana-1756	187	2	on	on	ADP
cana-1756	187	3	applied	apply	VERB
cana-1756	187	4	nonlinear	nonlinear	ADJ
cana-1756	187	5	analysis	analysis	NOUN
cana-1756	187	6	issn	issn	NOUN
cana-1756	187	7	:	:	PUNCT
cana-1756	187	8	1074	1074	NUM
cana-1756	187	9	-	-	PUNCT
cana-1756	187	10	133x	133x	NUM
cana-1756	187	11	vol	vol	NOUN
cana-1756	187	12	32	32	NUM
cana-1756	187	13	no	no	NOUN
cana-1756	187	14	.	.	NOUN
cana-1756	187	15	2	2	NUM
cana-1756	187	16	(	(	PUNCT
cana-1756	187	17	2025	2025	NUM
cana-1756	187	18	)	)	PUNCT
cana-1756	187	19	420	420	NUM
cana-1756	187	20	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1756	187	21	•	•	NOUN
cana-1756	187	22	evaluation	evaluation	NOUN
cana-1756	187	23	metrics	metric	NOUN
cana-1756	187	24	:	:	PUNCT
cana-1756	187	25	evaluation	evaluation	NOUN
cana-1756	187	26	of	of	ADP
cana-1756	187	27	the	the	DET
cana-1756	187	28	model	model	NOUN
cana-1756	187	29	should	should	AUX
cana-1756	187	30	be	be	AUX
cana-1756	187	31	performed	perform	VERB
cana-1756	187	32	using	use	VERB
cana-1756	187	33	a	a	DET
cana-1756	187	34	variety	variety	NOUN
cana-1756	187	35	of	of	ADP
cana-1756	187	36	evaluation	evaluation	NOUN
cana-1756	187	37	metrics	metric	NOUN
cana-1756	187	38	,	,	PUNCT
cana-1756	187	39	such	such	ADJ
cana-1756	187	40	as	as	ADP
cana-1756	187	41	accuracy	accuracy	NOUN
cana-1756	187	42	,	,	PUNCT
cana-1756	187	43	precision	precision	NOUN
cana-1756	187	44	,	,	PUNCT
cana-1756	187	45	recall	recall	NOUN
cana-1756	187	46	,	,	PUNCT
cana-1756	187	47	f1	f1	NOUN
cana-1756	187	48	-	-	PUNCT
cana-1756	187	49	score	score	NOUN
cana-1756	187	50	,	,	PUNCT
cana-1756	187	51	and	and	CCONJ
cana-1756	187	52	support	support	NOUN
cana-1756	187	53	,	,	PUNCT
cana-1756	187	54	once	once	SCONJ
cana-1756	187	55	the	the	DET
cana-1756	187	56	model	model	NOUN
cana-1756	187	57	has	have	AUX
cana-1756	187	58	been	be	AUX
cana-1756	187	59	trained	train	VERB
cana-1756	187	60	[	[	PUNCT
cana-1756	187	61	19	19	NUM
cana-1756	187	62	]	]	PUNCT
cana-1756	187	63	.	.	PUNCT
cana-1756	188	1	in	in	ADP
cana-1756	188	2	point	point	NOUN
cana-1756	188	3	of	of	ADP
cana-1756	188	4	fact	fact	NOUN
cana-1756	188	5	,	,	PUNCT
cana-1756	188	6	these	these	DET
cana-1756	188	7	evaluation	evaluation	NOUN
cana-1756	188	8	metrics	metric	NOUN
cana-1756	188	9	will	will	AUX
cana-1756	188	10	be	be	AUX
cana-1756	188	11	of	of	ADP
cana-1756	188	12	great	great	ADJ
cana-1756	188	13	assistance	assistance	NOUN
cana-1756	188	14	in	in	ADP
cana-1756	188	15	gaining	gain	VERB
cana-1756	188	16	a	a	DET
cana-1756	188	17	comprehensive	comprehensive	ADJ
cana-1756	188	18	comprehension	comprehension	NOUN
cana-1756	188	19	of	of	ADP
cana-1756	188	20	the	the	DET
cana-1756	188	21	model	model	NOUN
cana-1756	188	22	's	's	PART
cana-1756	188	23	ability	ability	NOUN
cana-1756	188	24	to	to	PART
cana-1756	188	25	identify	identify	VERB
cana-1756	188	26	and	and	CCONJ
cana-1756	188	27	forecast	forecast	VERB
cana-1756	188	28	attention	attention	NOUN
cana-1756	188	29	patterns	pattern	NOUN
cana-1756	188	30	when	when	SCONJ
cana-1756	188	31	applied	apply	VERB
cana-1756	188	32	.	.	PUNCT
cana-1756	189	1	•	•	NUM
cana-1756	189	2	model	model	NOUN
cana-1756	189	3	testing	testing	NOUN
cana-1756	189	4	:	:	PUNCT
cana-1756	189	5	putting	put	VERB
cana-1756	189	6	the	the	DET
cana-1756	189	7	trained	train	VERB
cana-1756	189	8	hybrid	hybrid	NOUN
cana-1756	189	9	model	model	NOUN
cana-1756	189	10	through	through	ADP
cana-1756	189	11	its	its	PRON
cana-1756	189	12	paces	pace	NOUN
cana-1756	189	13	on	on	ADP
cana-1756	189	14	fresh	fresh	ADJ
cana-1756	189	15	or	or	CCONJ
cana-1756	189	16	inexperienced	inexperienced	ADJ
cana-1756	189	17	data	datum	NOUN
cana-1756	189	18	in	in	ADP
cana-1756	189	19	order	order	NOUN
cana-1756	189	20	to	to	PART
cana-1756	189	21	evaluate	evaluate	VERB
cana-1756	189	22	its	its	PRON
cana-1756	189	23	overall	overall	ADJ
cana-1756	189	24	capabilities	capability	NOUN
cana-1756	189	25	.	.	PUNCT
cana-1756	190	1	this	this	DET
cana-1756	190	2	stage	stage	NOUN
cana-1756	190	3	is	be	AUX
cana-1756	190	4	essential	essential	ADJ
cana-1756	190	5	in	in	ADP
cana-1756	190	6	order	order	NOUN
cana-1756	190	7	to	to	PART
cana-1756	190	8	guarantee	guarantee	VERB
cana-1756	190	9	that	that	SCONJ
cana-1756	190	10	the	the	DET
cana-1756	190	11	generality	generality	NOUN
cana-1756	190	12	of	of	ADP
cana-1756	190	13	the	the	DET
cana-1756	190	14	model	model	NOUN
cana-1756	190	15	would	would	AUX
cana-1756	190	16	be	be	AUX
cana-1756	190	17	satisfactory	satisfactory	ADJ
cana-1756	190	18	in	in	ADP
cana-1756	190	19	the	the	DET
cana-1756	190	20	event	event	NOUN
cana-1756	190	21	that	that	SCONJ
cana-1756	190	22	it	it	PRON
cana-1756	190	23	was	be	AUX
cana-1756	190	24	confronted	confront	VERB
cana-1756	190	25	with	with	ADP
cana-1756	190	26	practical	practical	ADJ
cana-1756	190	27	data	datum	NOUN
cana-1756	190	28	.	.	PUNCT
cana-1756	191	1	•	•	NUM
cana-1756	191	2	optimization	optimization	NOUN
cana-1756	191	3	and	and	CCONJ
cana-1756	191	4	fine	fine	ADV
cana-1756	191	5	-	-	PUNCT
cana-1756	191	6	tuning	tuning	NOUN
cana-1756	191	7	:	:	PUNCT
cana-1756	191	8	in	in	ADP
cana-1756	191	9	order	order	NOUN
cana-1756	191	10	to	to	PART
cana-1756	191	11	make	make	VERB
cana-1756	191	12	the	the	DET
cana-1756	191	13	model	model	NOUN
cana-1756	191	14	better	well	ADV
cana-1756	191	15	,	,	PUNCT
cana-1756	191	16	you	you	PRON
cana-1756	191	17	should	should	AUX
cana-1756	191	18	modify	modify	VERB
cana-1756	191	19	it	it	PRON
cana-1756	191	20	based	base	VERB
cana-1756	191	21	on	on	ADP
cana-1756	191	22	the	the	DET
cana-1756	191	23	findings	finding	NOUN
cana-1756	191	24	of	of	ADP
cana-1756	191	25	the	the	DET
cana-1756	191	26	tests	test	NOUN
cana-1756	191	27	and	and	CCONJ
cana-1756	191	28	the	the	DET
cana-1756	191	29	conclusions	conclusion	NOUN
cana-1756	191	30	drawn	draw	VERB
cana-1756	191	31	from	from	ADP
cana-1756	191	32	the	the	DET
cana-1756	191	33	evaluation	evaluation	NOUN
cana-1756	191	34	.	.	PUNCT
cana-1756	192	1	make	make	VERB
cana-1756	192	2	adjustments	adjustment	NOUN
cana-1756	192	3	to	to	ADP
cana-1756	192	4	a	a	DET
cana-1756	192	5	few	few	ADJ
cana-1756	192	6	of	of	ADP
cana-1756	192	7	its	its	PRON
cana-1756	192	8	settings	setting	NOUN
cana-1756	192	9	in	in	ADP
cana-1756	192	10	order	order	NOUN
cana-1756	192	11	to	to	PART
cana-1756	192	12	improve	improve	VERB
cana-1756	192	13	its	its	PRON
cana-1756	192	14	performance	performance	NOUN
cana-1756	192	15	even	even	ADV
cana-1756	192	16	further	far	ADV
cana-1756	192	17	.	.	PUNCT
cana-1756	193	1	•	•	NUM
cana-1756	193	2	deployment	deployment	NOUN
cana-1756	193	3	:	:	PUNCT
cana-1756	193	4	deploy	deploy	VERB
cana-1756	193	5	the	the	DET
cana-1756	193	6	model	model	NOUN
cana-1756	193	7	to	to	PART
cana-1756	193	8	accommodate	accommodate	VERB
cana-1756	193	9	applications	application	NOUN
cana-1756	193	10	such	such	ADJ
cana-1756	193	11	as	as	ADP
cana-1756	193	12	user	user	NOUN
cana-1756	193	13	interfaces	interface	NOUN
cana-1756	193	14	,	,	PUNCT
cana-1756	193	15	medical	medical	ADJ
cana-1756	193	16	monitoring	monitoring	NOUN
cana-1756	193	17	systems	system	NOUN
cana-1756	193	18	,	,	PUNCT
cana-1756	193	19	instruction	instruction	NOUN
cana-1756	193	20	platforms	platform	NOUN
cana-1756	193	21	,	,	PUNCT
cana-1756	193	22	or	or	CCONJ
cana-1756	193	23	anything	anything	PRON
cana-1756	193	24	else	else	ADV
cana-1756	193	25	that	that	PRON
cana-1756	193	26	requires	require	VERB
cana-1756	193	27	at	at	ADP
cana-1756	193	28	least	least	ADJ
cana-1756	193	29	equivalent	equivalent	ADJ
cana-1756	193	30	performance	performance	NOUN
cana-1756	193	31	standards	standard	NOUN
cana-1756	193	32	to	to	PART
cana-1756	193	33	be	be	AUX
cana-1756	193	34	fitted	fit	VERB
cana-1756	193	35	early	early	ADV
cana-1756	193	36	.	.	PUNCT
cana-1756	194	1	c.	c.	NOUN
cana-1756	194	2	system	system	NOUN
cana-1756	194	3	architecture	architecture	NOUN
cana-1756	194	4	there	there	PRON
cana-1756	194	5	is	be	VERB
cana-1756	194	6	a	a	DET
cana-1756	194	7	representation	representation	NOUN
cana-1756	194	8	of	of	ADP
cana-1756	194	9	the	the	DET
cana-1756	194	10	architecture	architecture	NOUN
cana-1756	194	11	diagram	diagram	NOUN
cana-1756	194	12	that	that	PRON
cana-1756	194	13	has	have	AUX
cana-1756	194	14	been	be	AUX
cana-1756	194	15	utilized	utilize	VERB
cana-1756	194	16	throughout	throughout	ADP
cana-1756	194	17	the	the	DET
cana-1756	194	18	stages	stage	NOUN
cana-1756	194	19	of	of	ADP
cana-1756	194	20	model	model	NOUN
cana-1756	194	21	training	training	NOUN
cana-1756	194	22	and	and	CCONJ
cana-1756	194	23	testing	testing	NOUN
cana-1756	194	24	in	in	ADP
cana-1756	194	25	figure	figure	NOUN
cana-1756	194	26	7	7	NUM
cana-1756	194	27	,	,	PUNCT
cana-1756	194	28	which	which	PRON
cana-1756	194	29	can	can	AUX
cana-1756	194	30	be	be	AUX
cana-1756	194	31	found	find	VERB
cana-1756	194	32	below	below	ADV
cana-1756	194	33	.	.	PUNCT
cana-1756	195	1	following	follow	VERB
cana-1756	195	2	the	the	DET
cana-1756	195	3	initial	initial	ADJ
cana-1756	195	4	step	step	NOUN
cana-1756	195	5	of	of	ADP
cana-1756	195	6	dividing	divide	VERB
cana-1756	195	7	the	the	DET
cana-1756	195	8	data	datum	NOUN
cana-1756	195	9	into	into	ADP
cana-1756	195	10	train	train	NOUN
cana-1756	195	11	and	and	CCONJ
cana-1756	195	12	test	test	NOUN
cana-1756	195	13	datasets	dataset	NOUN
cana-1756	195	14	,	,	PUNCT
cana-1756	195	15	the	the	DET
cana-1756	195	16	train	train	NOUN
cana-1756	195	17	dataset	dataset	NOUN
cana-1756	195	18	is	be	AUX
cana-1756	195	19	then	then	ADV
cana-1756	195	20	provided	provide	VERB
cana-1756	195	21	to	to	ADP
cana-1756	195	22	a	a	DET
cana-1756	195	23	pre	pre	ADJ
cana-1756	195	24	-	-	ADJ
cana-1756	195	25	trained	train	VERB
cana-1756	195	26	model	model	NOUN
cana-1756	195	27	,	,	PUNCT
cana-1756	195	28	which	which	PRON
cana-1756	195	29	then	then	ADV
cana-1756	195	30	extracts	extract	VERB
cana-1756	195	31	the	the	DET
cana-1756	195	32	features	feature	NOUN
cana-1756	195	33	from	from	ADP
cana-1756	195	34	the	the	DET
cana-1756	195	35	dataset	dataset	NOUN
cana-1756	195	36	.	.	PUNCT
cana-1756	196	1	therefore	therefore	ADV
cana-1756	196	2	,	,	PUNCT
cana-1756	196	3	these	these	DET
cana-1756	196	4	characteristics	characteristic	NOUN
cana-1756	196	5	are	be	AUX
cana-1756	196	6	now	now	ADV
cana-1756	196	7	being	be	AUX
cana-1756	196	8	directly	directly	ADV
cana-1756	196	9	transferred	transfer	VERB
cana-1756	196	10	to	to	ADP
cana-1756	196	11	the	the	DET
cana-1756	196	12	xgboost	xgboost	PROPN
cana-1756	196	13	model	model	PROPN
cana-1756	196	14	,	,	PUNCT
cana-1756	196	15	which	which	PRON
cana-1756	196	16	enhances	enhance	VERB
cana-1756	196	17	the	the	DET
cana-1756	196	18	hybrid	hybrid	NOUN
cana-1756	196	19	in	in	ADP
cana-1756	196	20	terms	term	NOUN
cana-1756	196	21	of	of	ADP
cana-1756	196	22	its	its	PRON
cana-1756	196	23	resilience	resilience	NOUN
cana-1756	196	24	and	and	CCONJ
cana-1756	196	25	efficiency	efficiency	NOUN
cana-1756	196	26	.	.	PUNCT
cana-1756	197	1	figure	figure	VERB
cana-1756	197	2	7	7	NUM
cana-1756	197	3	.	.	PUNCT
cana-1756	197	4	system	system	NOUN
cana-1756	197	5	architecture	architecture	NOUN
cana-1756	197	6	d.	d.	NOUN
cana-1756	197	7	performance	performance	NOUN
cana-1756	197	8	metrics	metric	NOUN
cana-1756	197	9	the	the	DET
cana-1756	197	10	following	follow	VERB
cana-1756	197	11	are	be	AUX
cana-1756	197	12	some	some	PRON
cana-1756	197	13	of	of	ADP
cana-1756	197	14	the	the	DET
cana-1756	197	15	most	most	ADV
cana-1756	197	16	important	important	ADJ
cana-1756	197	17	performance	performance	NOUN
cana-1756	197	18	measures	measure	NOUN
cana-1756	197	19	that	that	PRON
cana-1756	197	20	may	may	AUX
cana-1756	197	21	be	be	AUX
cana-1756	197	22	used	use	VERB
cana-1756	197	23	to	to	PART
cana-1756	197	24	evaluate	evaluate	VERB
cana-1756	197	25	the	the	DET
cana-1756	197	26	efficiency	efficiency	NOUN
cana-1756	197	27	of	of	ADP
cana-1756	197	28	the	the	DET
cana-1756	197	29	"	"	PUNCT
cana-1756	197	30	eye	eye	NOUN
cana-1756	197	31	gaze	gaze	NOUN
cana-1756	197	32	for	for	ADP
cana-1756	197	33	monitoring	monitor	VERB
cana-1756	197	34	attention	attention	NOUN
cana-1756	197	35	through	through	ADP
cana-1756	197	36	hybrid	hybrid	ADJ
cana-1756	197	37	ensemble	ensemble	ADJ
cana-1756	197	38	learning	learning	NOUN
cana-1756	197	39	"	"	PUNCT
cana-1756	197	40	system	system	NOUN
cana-1756	197	41	:	:	PUNCT
cana-1756	197	42	•	•	NUM
cana-1756	197	43	accuracy	accuracy	NOUN
cana-1756	197	44	:	:	PUNCT
cana-1756	197	45	(	(	PUNCT
cana-1756	197	46	1	1	X
cana-1756	197	47	)	)	PUNCT
cana-1756	197	48	communications	communication	NOUN
cana-1756	197	49	on	on	ADP
cana-1756	197	50	applied	apply	VERB
cana-1756	197	51	nonlinear	nonlinear	ADJ
cana-1756	197	52	analysis	analysis	NOUN
cana-1756	197	53	issn	issn	NOUN
cana-1756	197	54	:	:	PUNCT
cana-1756	197	55	1074	1074	NUM
cana-1756	197	56	-	-	PUNCT
cana-1756	197	57	133x	133x	NUM
cana-1756	197	58	vol	vol	NOUN
cana-1756	197	59	32	32	NUM
cana-1756	197	60	no	no	NOUN
cana-1756	197	61	.	.	NOUN
cana-1756	197	62	2	2	NUM
cana-1756	197	63	(	(	PUNCT
cana-1756	197	64	2025	2025	NUM
cana-1756	197	65	)	)	PUNCT
cana-1756	197	66	421	421	NUM
cana-1756	197	67	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1756	197	68	•	•	NUM
cana-1756	197	69	precision	precision	NOUN
cana-1756	197	70	:	:	PUNCT
cana-1756	198	1	(	(	PUNCT
cana-1756	198	2	2	2	X
cana-1756	198	3	)	)	PUNCT
cana-1756	198	4	•	•	NUM
cana-1756	198	5	recall	recall	NOUN
cana-1756	198	6	(	(	PUNCT
cana-1756	198	7	sensitivity	sensitivity	NOUN
cana-1756	198	8	):	):	PUNCT
cana-1756	198	9	(	(	PUNCT
cana-1756	198	10	3	3	X
cana-1756	198	11	)	)	PUNCT
cana-1756	198	12	•	•	NOUN
cana-1756	198	13	f1	f1	NOUN
cana-1756	198	14	-	-	PUNCT
cana-1756	198	15	score	score	NOUN
cana-1756	198	16	:	:	PUNCT
cana-1756	198	17	(	(	PUNCT
cana-1756	198	18	4	4	X
cana-1756	198	19	)	)	PUNCT
cana-1756	198	20	•	•	NUM
cana-1756	198	21	mean	mean	VERB
cana-1756	198	22	absolute	absolute	ADJ
cana-1756	198	23	error	error	NOUN
cana-1756	198	24	(	(	PUNCT
cana-1756	198	25	mae	mae	PROPN
cana-1756	198	26	):	):	PUNCT
cana-1756	198	27	(	(	PUNCT
cana-1756	198	28	5	5	NUM
cana-1756	198	29	)	)	PUNCT
cana-1756	198	30	•	•	NUM
cana-1756	198	31	root	root	NOUN
cana-1756	198	32	mean	mean	VERB
cana-1756	198	33	squared	square	VERB
cana-1756	198	34	error	error	NOUN
cana-1756	198	35	(	(	PUNCT
cana-1756	198	36	rmse	rmse	NOUN
cana-1756	198	37	):	):	PUNCT
cana-1756	198	38	(	(	PUNCT
cana-1756	198	39	6	6	NUM
cana-1756	198	40	)	)	SYM
cana-1756	198	41	5	5	NUM
cana-1756	198	42	.	.	PUNCT
cana-1756	198	43	result	result	VERB
cana-1756	198	44	for	for	ADP
cana-1756	198	45	the	the	DET
cana-1756	198	46	purpose	purpose	NOUN
cana-1756	198	47	of	of	ADP
cana-1756	198	48	attention	attention	NOUN
cana-1756	198	49	tracking	tracking	NOUN
cana-1756	198	50	,	,	PUNCT
cana-1756	198	51	this	this	DET
cana-1756	198	52	study	study	NOUN
cana-1756	198	53	has	have	AUX
cana-1756	198	54	conducted	conduct	VERB
cana-1756	198	55	an	an	DET
cana-1756	198	56	empirical	empirical	ADJ
cana-1756	198	57	investigation	investigation	NOUN
cana-1756	198	58	of	of	ADP
cana-1756	198	59	the	the	DET
cana-1756	198	60	performance	performance	NOUN
cana-1756	198	61	of	of	ADP
cana-1756	198	62	six	six	NUM
cana-1756	198	63	different	different	ADJ
cana-1756	198	64	pre	pre	ADJ
cana-1756	198	65	-	-	ADJ
cana-1756	198	66	trained	train	VERB
cana-1756	198	67	models	model	NOUN
cana-1756	198	68	,	,	PUNCT
cana-1756	198	69	namely	namely	ADV
cana-1756	198	70	vgg16	vgg16	PROPN
cana-1756	198	71	,	,	PUNCT
cana-1756	198	72	vgg19	vgg19	PROPN
cana-1756	198	73	,	,	PUNCT
cana-1756	198	74	inceptionv3	inceptionv3	NOUN
cana-1756	198	75	,	,	PUNCT
cana-1756	198	76	efficientnetb0	efficientnetb0	NOUN
cana-1756	198	77	,	,	PUNCT
cana-1756	198	78	efficientnetb7	efficientnetb7	ADV
cana-1756	198	79	,	,	PUNCT
cana-1756	198	80	and	and	CCONJ
cana-1756	199	1	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	199	2	.	.	PUNCT
cana-1756	199	3	table	table	NOUN
cana-1756	199	4	2	2	NUM
cana-1756	199	5	provides	provide	VERB
cana-1756	199	6	a	a	DET
cana-1756	199	7	summary	summary	NOUN
cana-1756	199	8	of	of	ADP
cana-1756	199	9	the	the	DET
cana-1756	199	10	accuracy	accuracy	NOUN
cana-1756	199	11	levels	level	NOUN
cana-1756	199	12	that	that	PRON
cana-1756	199	13	were	be	AUX
cana-1756	199	14	reached	reach	VERB
cana-1756	199	15	in	in	ADP
cana-1756	199	16	both	both	DET
cana-1756	199	17	testing	testing	NOUN
cana-1756	199	18	and	and	CCONJ
cana-1756	199	19	training	training	NOUN
cana-1756	199	20	.	.	PUNCT
cana-1756	200	1	table	table	NOUN
cana-1756	200	2	2	2	NUM
cana-1756	200	3	.	.	PUNCT
cana-1756	200	4	accuracy	accuracy	NOUN
cana-1756	200	5	table	table	NOUN
cana-1756	200	6	for	for	ADP
cana-1756	200	7	pre	pre	ADJ
cana-1756	200	8	-	-	ADJ
cana-1756	200	9	trained	train	VERB
cana-1756	200	10	model	model	NOUN
cana-1756	200	11	pre	pre	ADJ
cana-1756	200	12	-	-	ADJ
cana-1756	200	13	trained	train	VERB
cana-1756	200	14	model	model	NOUN
cana-1756	200	15	training	training	NOUN
cana-1756	200	16	accuracy	accuracy	NOUN
cana-1756	200	17	testing	testing	NOUN
cana-1756	200	18	accuracy	accuracy	NOUN
cana-1756	200	19	vgg16	vgg16	PROPN
cana-1756	200	20	94.00	94.00	NUM
cana-1756	200	21	%	%	NOUN
cana-1756	200	22	82.30	82.30	NUM
cana-1756	200	23	%	%	NOUN
cana-1756	200	24	vgg19	vgg19	NOUN
cana-1756	200	25	94.30	94.30	NUM
cana-1756	200	26	%	%	NOUN
cana-1756	200	27	84.60	84.60	NUM
cana-1756	200	28	%	%	NOUN
cana-1756	200	29	inceptionv3	inceptionv3	NOUN
cana-1756	200	30	83.80	83.80	NUM
cana-1756	200	31	%	%	NOUN
cana-1756	200	32	77.90	77.90	NUM
cana-1756	200	33	%	%	NOUN
cana-1756	200	34	efficientnetb0	efficientnetb0	NOUN
cana-1756	200	35	86.30	86.30	NUM
cana-1756	200	36	%	%	NOUN
cana-1756	200	37	81.60	81.60	NUM
cana-1756	200	38	%	%	NOUN
cana-1756	200	39	efficientnetb7	efficientnetb7	NOUN
cana-1756	200	40	82.10	82.10	NUM
cana-1756	200	41	%	%	NOUN
cana-1756	200	42	80.30	80.30	NUM
cana-1756	200	43	%	%	NOUN
cana-1756	200	44	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	200	45	87.80	87.80	NUM
cana-1756	200	46	%	%	NOUN
cana-1756	200	47	83.60	83.60	NUM
cana-1756	200	48	%	%	NOUN
cana-1756	200	49	a.	a.	NOUN
cana-1756	200	50	performance	performance	NOUN
cana-1756	200	51	evaluation	evaluation	NOUN
cana-1756	200	52	of	of	ADP
cana-1756	200	53	pre	pre	ADJ
cana-1756	200	54	-	-	ADJ
cana-1756	200	55	trained	train	VERB
cana-1756	200	56	models	model	NOUN
cana-1756	200	57	•	•	ADP
cana-1756	200	58	accuracy	accuracy	NOUN
cana-1756	200	59	and	and	CCONJ
cana-1756	200	60	loss	loss	NOUN
cana-1756	200	61	plots	plot	NOUN
cana-1756	200	62	:	:	PUNCT
cana-1756	200	63	both	both	PRON
cana-1756	200	64	figure	figure	VERB
cana-1756	200	65	8	8	NUM
cana-1756	200	66	and	and	CCONJ
cana-1756	200	67	figure	figure	VERB
cana-1756	200	68	9	9	NUM
cana-1756	200	69	below	below	ADP
cana-1756	200	70	illustrate	illustrate	VERB
cana-1756	200	71	the	the	DET
cana-1756	200	72	accuracy	accuracy	NOUN
cana-1756	200	73	and	and	CCONJ
cana-1756	200	74	plot	plot	NOUN
cana-1756	200	75	graphs	graph	NOUN
cana-1756	200	76	for	for	ADP
cana-1756	200	77	the	the	DET
cana-1756	200	78	best	good	ADJ
cana-1756	200	79	pre	pre	ADJ
cana-1756	200	80	-	-	ADJ
cana-1756	200	81	trained	train	VERB
cana-1756	200	82	models	model	NOUN
cana-1756	200	83	.	.	PUNCT
cana-1756	201	1	these	these	DET
cana-1756	201	2	graphs	graph	NOUN
cana-1756	201	3	can	can	AUX
cana-1756	201	4	be	be	AUX
cana-1756	201	5	found	find	VERB
cana-1756	201	6	below	below	ADV
cana-1756	201	7	.	.	PUNCT
cana-1756	202	1	communications	communication	NOUN
cana-1756	202	2	on	on	ADP
cana-1756	202	3	applied	apply	VERB
cana-1756	202	4	nonlinear	nonlinear	ADJ
cana-1756	202	5	analysis	analysis	NOUN
cana-1756	202	6	issn	issn	NOUN
cana-1756	202	7	:	:	PUNCT
cana-1756	202	8	1074	1074	NUM
cana-1756	202	9	-	-	PUNCT
cana-1756	202	10	133x	133x	NUM
cana-1756	202	11	vol	vol	NOUN
cana-1756	202	12	32	32	NUM
cana-1756	202	13	no	no	NOUN
cana-1756	202	14	.	.	NOUN
cana-1756	202	15	2	2	NUM
cana-1756	202	16	(	(	PUNCT
cana-1756	202	17	2025	2025	NUM
cana-1756	202	18	)	)	PUNCT
cana-1756	203	1	422	422	NUM
cana-1756	203	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	203	3	figure	figure	NOUN
cana-1756	203	4	8	8	NUM
cana-1756	203	5	.	.	PUNCT
cana-1756	204	1	vgg16	vgg16	NOUN
cana-1756	204	2	accuracy	accuracy	NOUN
cana-1756	204	3	plot	plot	NOUN
cana-1756	204	4	figure	figure	NOUN
cana-1756	204	5	9	9	NUM
cana-1756	204	6	.	.	PUNCT
cana-1756	205	1	vgg19	vgg19	PROPN
cana-1756	205	2	accuracy	accuracy	NOUN
cana-1756	205	3	plot	plot	NOUN
cana-1756	205	4	•	•	NOUN
cana-1756	205	5	confusion	confusion	NOUN
cana-1756	205	6	matrices	matrix	NOUN
cana-1756	205	7	:	:	PUNCT
cana-1756	205	8	additionally	additionally	ADV
cana-1756	205	9	,	,	PUNCT
cana-1756	205	10	the	the	DET
cana-1756	205	11	confusion	confusion	NOUN
cana-1756	205	12	matrices	matrix	NOUN
cana-1756	205	13	for	for	ADP
cana-1756	205	14	the	the	DET
cana-1756	205	15	most	most	ADV
cana-1756	205	16	effective	effective	ADJ
cana-1756	205	17	pretrained	pretraine	VERB
cana-1756	205	18	models	model	NOUN
cana-1756	205	19	are	be	AUX
cana-1756	205	20	presented	present	VERB
cana-1756	205	21	in	in	ADP
cana-1756	205	22	figures	figure	NOUN
cana-1756	205	23	10	10	NUM
cana-1756	205	24	and	and	CCONJ
cana-1756	205	25	11	11	NUM
cana-1756	205	26	,	,	PUNCT
cana-1756	205	27	respectively	respectively	ADV
cana-1756	205	28	.	.	PUNCT
cana-1756	206	1	figure	figure	NOUN
cana-1756	206	2	10	10	NUM
cana-1756	206	3	.	.	PUNCT
cana-1756	207	1	vgg16	vgg16	NOUN
cana-1756	207	2	confusion	confusion	NOUN
cana-1756	207	3	matrix	matrix	NOUN
cana-1756	207	4	figure	figure	NOUN
cana-1756	207	5	11	11	NUM
cana-1756	207	6	.	.	PUNCT
cana-1756	208	1	vgg19	vgg19	PROPN
cana-1756	208	2	confusion	confusion	NOUN
cana-1756	208	3	matrix	matrix	NOUN
cana-1756	208	4	•	•	NOUN
cana-1756	208	5	evaluation	evaluation	NOUN
cana-1756	208	6	results	result	NOUN
cana-1756	208	7	:	:	PUNCT
cana-1756	208	8	all	all	PRON
cana-1756	208	9	of	of	ADP
cana-1756	208	10	the	the	DET
cana-1756	208	11	evaluation	evaluation	NOUN
cana-1756	208	12	findings	finding	NOUN
cana-1756	208	13	,	,	PUNCT
cana-1756	208	14	including	include	VERB
cana-1756	208	15	precision	precision	NOUN
cana-1756	208	16	,	,	PUNCT
cana-1756	208	17	recall	recall	NOUN
cana-1756	208	18	,	,	PUNCT
cana-1756	208	19	f1	f1	NOUN
cana-1756	208	20	-	-	PUNCT
cana-1756	208	21	score	score	NOUN
cana-1756	208	22	,	,	PUNCT
cana-1756	208	23	and	and	CCONJ
cana-1756	208	24	support	support	NOUN
cana-1756	208	25	for	for	ADP
cana-1756	208	26	pre	pre	ADJ
cana-1756	208	27	-	-	ADJ
cana-1756	208	28	trained	train	VERB
cana-1756	208	29	models	model	NOUN
cana-1756	208	30	,	,	PUNCT
cana-1756	208	31	are	be	AUX
cana-1756	208	32	presented	present	VERB
cana-1756	208	33	in	in	ADP
cana-1756	208	34	the	the	DET
cana-1756	208	35	following	follow	VERB
cana-1756	208	36	table	table	NOUN
cana-1756	208	37	,	,	PUNCT
cana-1756	208	38	which	which	PRON
cana-1756	208	39	may	may	AUX
cana-1756	208	40	be	be	AUX
cana-1756	208	41	found	find	VERB
cana-1756	208	42	in	in	ADP
cana-1756	208	43	reference	reference	NOUN
cana-1756	208	44	number	number	NOUN
cana-1756	208	45	3	3	NUM
cana-1756	208	46	.	.	PUNCT
cana-1756	208	47	table	table	NOUN
cana-1756	208	48	3	3	NUM
cana-1756	208	49	.	.	PUNCT
cana-1756	208	50	evaluation	evaluation	NOUN
cana-1756	208	51	results	result	NOUN
cana-1756	208	52	for	for	ADP
cana-1756	208	53	pre	pre	ADJ
cana-1756	208	54	-	-	ADJ
cana-1756	208	55	trained	train	VERB
cana-1756	208	56	models	model	NOUN
cana-1756	208	57	models	model	VERB
cana-1756	208	58	precision	precision	NOUN
cana-1756	208	59	recall	recall	NOUN
cana-1756	208	60	f1	f1	NOUN
cana-1756	208	61	-	-	PUNCT
cana-1756	208	62	score	score	NOUN
cana-1756	208	63	support	support	NOUN
cana-1756	208	64	0	0	NUM
cana-1756	208	65	1	1	NUM
cana-1756	208	66	0	0	NUM
cana-1756	208	67	1	1	NUM
cana-1756	208	68	0	0	NUM
cana-1756	208	69	1	1	NUM
cana-1756	208	70	0	0	NUM
cana-1756	208	71	1	1	NUM
cana-1756	208	72	vgg16	vgg16	NOUN
cana-1756	208	73	0.52	0.52	NUM
cana-1756	208	74	0.52	0.52	NUM
cana-1756	208	75	0.50	0.50	NUM
cana-1756	208	76	0.53	0.53	NUM
cana-1756	208	77	0.51	0.51	NUM
cana-1756	208	78	0.52	0.52	NUM
cana-1756	208	79	150	150	NUM
cana-1756	208	80	150	150	NUM
cana-1756	209	1	vgg19	vgg19	NOUN
cana-1756	210	1	0.53	0.53	NUM
cana-1756	210	2	0.53	0.53	NUM
cana-1756	210	3	0.54	0.54	NUM
cana-1756	210	4	0.53	0.53	NUM
cana-1756	210	5	0.54	0.54	NUM
cana-1756	210	6	0.53	0.53	NUM
cana-1756	210	7	150	150	NUM
cana-1756	210	8	150	150	NUM
cana-1756	210	9	inceptionv3	inceptionv3	NOUN
cana-1756	210	10	0.46	0.46	NUM
cana-1756	210	11	0.47	0.47	NUM
cana-1756	210	12	0.43	0.43	NUM
cana-1756	210	13	0.50	0.50	NUM
cana-1756	210	14	0.45	0.45	NUM
cana-1756	210	15	0.48	0.48	NUM
cana-1756	210	16	150	150	NUM
cana-1756	210	17	150	150	NUM
cana-1756	210	18	efficientnetb0	efficientnetb0	NOUN
cana-1756	210	19	0.50	0.50	NUM
cana-1756	210	20	0.00	0.00	NUM
cana-1756	210	21	1.00	1.00	NUM
cana-1756	210	22	0.00	0.00	NUM
cana-1756	210	23	0.67	0.67	NUM
cana-1756	210	24	0.00	0.00	NUM
cana-1756	210	25	150	150	NUM
cana-1756	210	26	150	150	NUM
cana-1756	210	27	efficientnetb7	efficientnetb7	NOUN
cana-1756	210	28	0.50	0.50	NUM
cana-1756	210	29	0.00	0.00	NUM
cana-1756	210	30	1.00	1.00	NUM
cana-1756	210	31	0.00	0.00	NUM
cana-1756	210	32	0.67	0.67	NUM
cana-1756	210	33	0.00	0.00	NUM
cana-1756	210	34	150	150	NUM
cana-1756	210	35	150	150	NUM
cana-1756	210	36	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	210	37	0.54	0.54	NUM
cana-1756	210	38	0.53	0.53	NUM
cana-1756	210	39	0.49	0.49	NUM
cana-1756	210	40	0.58	0.58	NUM
cana-1756	210	41	0.52	0.52	NUM
cana-1756	210	42	0.56	0.56	NUM
cana-1756	210	43	150	150	NUM
cana-1756	210	44	150	150	NUM
cana-1756	210	45	communications	communication	NOUN
cana-1756	210	46	on	on	ADP
cana-1756	210	47	applied	apply	VERB
cana-1756	210	48	nonlinear	nonlinear	ADJ
cana-1756	210	49	analysis	analysis	NOUN
cana-1756	210	50	issn	issn	NOUN
cana-1756	210	51	:	:	PUNCT
cana-1756	210	52	1074	1074	NUM
cana-1756	210	53	-	-	PUNCT
cana-1756	210	54	133x	133x	NUM
cana-1756	210	55	vol	vol	NOUN
cana-1756	210	56	32	32	NUM
cana-1756	210	57	no	no	NOUN
cana-1756	210	58	.	.	NOUN
cana-1756	210	59	2	2	NUM
cana-1756	210	60	(	(	PUNCT
cana-1756	210	61	2025	2025	NUM
cana-1756	210	62	)	)	PUNCT
cana-1756	210	63	423	423	NUM
cana-1756	210	64	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	210	65	b.	b.	PROPN
cana-1756	210	66	hybrid	hybrid	PROPN
cana-1756	210	67	model	model	NOUN
cana-1756	210	68	approach	approach	NOUN
cana-1756	210	69	when	when	SCONJ
cana-1756	210	70	everything	everything	PRON
cana-1756	210	71	was	be	AUX
cana-1756	210	72	said	say	VERB
cana-1756	210	73	and	and	CCONJ
cana-1756	210	74	done	do	VERB
cana-1756	210	75	,	,	PUNCT
cana-1756	210	76	xgboost	xgboost	ADV
cana-1756	210	77	was	be	AUX
cana-1756	210	78	used	use	VERB
cana-1756	210	79	to	to	PART
cana-1756	210	80	hybridize	hybridize	VERB
cana-1756	210	81	all	all	PRON
cana-1756	210	82	of	of	ADP
cana-1756	210	83	the	the	DET
cana-1756	210	84	pre	pre	ADJ
cana-1756	210	85	-	-	ADJ
cana-1756	210	86	trained	train	VERB
cana-1756	210	87	models	model	NOUN
cana-1756	210	88	.	.	PUNCT
cana-1756	211	1	unbelievably	unbelievably	ADV
cana-1756	211	2	,	,	PUNCT
cana-1756	211	3	each	each	DET
cana-1756	211	4	hybrid	hybrid	NOUN
cana-1756	211	5	model	model	NOUN
cana-1756	211	6	demonstrated	demonstrate	VERB
cana-1756	211	7	high	high	ADJ
cana-1756	211	8	learning	learning	NOUN
cana-1756	211	9	,	,	PUNCT
cana-1756	211	10	reaching	reach	VERB
cana-1756	211	11	as	as	ADV
cana-1756	211	12	high	high	ADJ
cana-1756	211	13	as	as	ADP
cana-1756	211	14	one	one	NUM
cana-1756	211	15	hundred	hundred	NUM
cana-1756	211	16	percent	percent	NOUN
cana-1756	211	17	in	in	ADP
cana-1756	211	18	terms	term	NOUN
cana-1756	211	19	of	of	ADP
cana-1756	211	20	training	training	NOUN
cana-1756	211	21	accuracy	accuracy	NOUN
cana-1756	211	22	.	.	PUNCT
cana-1756	212	1	table	table	NOUN
cana-1756	212	2	4	4	NUM
cana-1756	212	3	presents	present	VERB
cana-1756	212	4	a	a	DET
cana-1756	212	5	comparison	comparison	NOUN
cana-1756	212	6	of	of	ADP
cana-1756	212	7	the	the	DET
cana-1756	212	8	testing	testing	NOUN
cana-1756	212	9	accuracies	accuracy	NOUN
cana-1756	212	10	of	of	ADP
cana-1756	212	11	the	the	DET
cana-1756	212	12	models	model	NOUN
cana-1756	212	13	with	with	ADP
cana-1756	212	14	the	the	DET
cana-1756	212	15	various	various	ADJ
cana-1756	212	16	displays	display	NOUN
cana-1756	212	17	that	that	PRON
cana-1756	212	18	are	be	AUX
cana-1756	212	19	available	available	ADJ
cana-1756	212	20	.	.	PUNCT
cana-1756	213	1	table	table	NOUN
cana-1756	213	2	4	4	NUM
cana-1756	213	3	.	.	PUNCT
cana-1756	213	4	accuracy	accuracy	NOUN
cana-1756	213	5	table	table	NOUN
cana-1756	213	6	for	for	ADP
cana-1756	213	7	hybrid	hybrid	NOUN
cana-1756	213	8	models	model	NOUN
cana-1756	213	9	hybrid	hybrid	ADJ
cana-1756	213	10	model	model	NOUN
cana-1756	213	11	training	training	NOUN
cana-1756	213	12	accuracy	accuracy	NOUN
cana-1756	213	13	testing	testing	NOUN
cana-1756	213	14	accuracy	accuracy	NOUN
cana-1756	213	15	vgg16	vgg16	NOUN
cana-1756	213	16	with	with	ADP
cana-1756	213	17	xgboost	xgboost	PROPN
cana-1756	213	18	100	100	NUM
cana-1756	213	19	%	%	NOUN
cana-1756	213	20	82.00	82.00	NUM
cana-1756	213	21	%	%	NOUN
cana-1756	213	22	vgg19	vgg19	NOUN
cana-1756	213	23	with	with	ADP
cana-1756	213	24	xgboost	xgboost	PROPN
cana-1756	213	25	100	100	NUM
cana-1756	213	26	%	%	NOUN
cana-1756	213	27	81.30	81.30	NUM
cana-1756	213	28	%	%	NOUN
cana-1756	213	29	inceptionv3	inceptionv3	NOUN
cana-1756	213	30	with	with	ADP
cana-1756	213	31	xgboost	xgboost	ADV
cana-1756	213	32	100	100	NUM
cana-1756	213	33	%	%	NOUN
cana-1756	213	34	75.60	75.60	NUM
cana-1756	213	35	%	%	NOUN
cana-1756	213	36	efficientnetb0	efficientnetb0	NOUN
cana-1756	213	37	with	with	ADP
cana-1756	213	38	xgboost	xgboost	ADV
cana-1756	213	39	100	100	NUM
cana-1756	213	40	%	%	NOUN
cana-1756	213	41	78.00	78.00	NUM
cana-1756	213	42	%	%	NOUN
cana-1756	213	43	efficientnetb7	efficientnetb7	NOUN
cana-1756	213	44	with	with	ADP
cana-1756	213	45	xgboost	xgboost	PROPN
cana-1756	213	46	100	100	NUM
cana-1756	213	47	%	%	NOUN
cana-1756	213	48	72.30	72.30	NUM
cana-1756	213	49	%	%	NOUN
cana-1756	213	50	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	213	51	with	with	ADP
cana-1756	213	52	xgboost	xgboost	ADV
cana-1756	213	53	100	100	NUM
cana-1756	213	54	%	%	NOUN
cana-1756	213	55	77.60	77.60	NUM
cana-1756	213	56	%	%	NOUN
cana-1756	213	57	c.	c.	NOUN
cana-1756	213	58	performance	performance	NOUN
cana-1756	213	59	evaluation	evaluation	NOUN
cana-1756	213	60	of	of	ADP
cana-1756	213	61	hybrid	hybrid	NOUN
cana-1756	213	62	models	model	NOUN
cana-1756	213	63	•	•	ADP
cana-1756	213	64	confusion	confusion	NOUN
cana-1756	213	65	matrices	matrix	NOUN
cana-1756	213	66	:	:	PUNCT
cana-1756	213	67	the	the	DET
cana-1756	213	68	confusion	confusion	NOUN
cana-1756	213	69	matrices	matrix	NOUN
cana-1756	213	70	from	from	ADP
cana-1756	213	71	the	the	DET
cana-1756	213	72	hybrid	hybrid	NOUN
cana-1756	213	73	models	model	NOUN
cana-1756	213	74	that	that	PRON
cana-1756	213	75	performed	perform	VERB
cana-1756	213	76	the	the	DET
cana-1756	213	77	best	good	ADJ
cana-1756	213	78	are	be	AUX
cana-1756	213	79	presented	present	VERB
cana-1756	213	80	in	in	ADP
cana-1756	213	81	figure	figure	NOUN
cana-1756	213	82	12	12	NUM
cana-1756	213	83	and	and	CCONJ
cana-1756	213	84	figure	figure	VERB
cana-1756	213	85	13	13	NUM
cana-1756	213	86	,	,	PUNCT
cana-1756	213	87	respectively	respectively	ADV
cana-1756	213	88	,	,	PUNCT
cana-1756	213	89	after	after	SCONJ
cana-1756	213	90	these	these	DET
cana-1756	213	91	two	two	NUM
cana-1756	213	92	graphs	graph	NOUN
cana-1756	213	93	have	have	AUX
cana-1756	213	94	been	be	AUX
cana-1756	213	95	presented	present	VERB
cana-1756	213	96	.	.	PUNCT
cana-1756	214	1	figure	figure	NOUN
cana-1756	214	2	12	12	NUM
cana-1756	214	3	.	.	PUNCT
cana-1756	215	1	vgg16	vgg16	NOUN
cana-1756	215	2	-	-	PUNCT
cana-1756	215	3	xgboost	xgboost	PROPN
cana-1756	215	4	confusion	confusion	NOUN
cana-1756	215	5	matrix	matrix	NOUN
cana-1756	215	6	figure	figure	NOUN
cana-1756	215	7	13	13	NUM
cana-1756	215	8	.	.	PUNCT
cana-1756	216	1	vgg19	vgg19	NOUN
cana-1756	216	2	-	-	PUNCT
cana-1756	216	3	xgboost	xgboost	NOUN
cana-1756	216	4	confusion	confusion	NOUN
cana-1756	216	5	matrix	matrix	NOUN
cana-1756	216	6	•	•	NOUN
cana-1756	216	7	evaluation	evaluation	NOUN
cana-1756	216	8	results	result	NOUN
cana-1756	216	9	:	:	PUNCT
cana-1756	216	10	the	the	DET
cana-1756	216	11	remaining	remain	VERB
cana-1756	216	12	components	component	NOUN
cana-1756	216	13	,	,	PUNCT
cana-1756	216	14	including	include	VERB
cana-1756	216	15	precision	precision	NOUN
cana-1756	216	16	,	,	PUNCT
cana-1756	216	17	recall	recall	NOUN
cana-1756	216	18	,	,	PUNCT
cana-1756	216	19	f1	f1	NOUN
cana-1756	216	20	-	-	PUNCT
cana-1756	216	21	score	score	NOUN
cana-1756	216	22	,	,	PUNCT
cana-1756	216	23	and	and	CCONJ
cana-1756	216	24	support	support	NOUN
cana-1756	216	25	,	,	PUNCT
cana-1756	216	26	are	be	AUX
cana-1756	216	27	also	also	ADV
cana-1756	216	28	included	include	VERB
cana-1756	216	29	in	in	ADP
cana-1756	216	30	table	table	NOUN
cana-1756	216	31	5	5	NUM
cana-1756	216	32	,	,	PUNCT
cana-1756	216	33	which	which	PRON
cana-1756	216	34	also	also	ADV
cana-1756	216	35	contains	contain	VERB
cana-1756	216	36	these	these	DET
cana-1756	216	37	additional	additional	ADJ
cana-1756	216	38	components	component	NOUN
cana-1756	216	39	.	.	PUNCT
cana-1756	217	1	table	table	NOUN
cana-1756	217	2	5	5	NUM
cana-1756	217	3	.	.	PUNCT
cana-1756	217	4	evaluation	evaluation	NOUN
cana-1756	217	5	results	result	NOUN
cana-1756	217	6	for	for	ADP
cana-1756	217	7	hybrid	hybrid	ADJ
cana-1756	217	8	models	model	NOUN
cana-1756	217	9	hybrid	hybrid	ADJ
cana-1756	217	10	models	model	NOUN
cana-1756	217	11	precision	precision	NOUN
cana-1756	217	12	recall	recall	VERB
cana-1756	217	13	f1	f1	NOUN
cana-1756	217	14	-	-	PUNCT
cana-1756	217	15	score	score	NOUN
cana-1756	217	16	support	support	NOUN
cana-1756	217	17	0	0	NUM
cana-1756	217	18	1	1	NUM
cana-1756	217	19	0	0	NUM
cana-1756	217	20	1	1	NUM
cana-1756	217	21	0	0	NUM
cana-1756	217	22	1	1	NUM
cana-1756	217	23	0	0	NUM
cana-1756	217	24	1	1	NUM
cana-1756	217	25	vgg16	vgg16	NOUN
cana-1756	217	26	-	-	PUNCT
cana-1756	217	27	xgboost	xgboost	PROPN
cana-1756	217	28	0.52	0.52	NUM
cana-1756	217	29	0.52	0.52	NUM
cana-1756	217	30	0.50	0.50	NUM
cana-1756	217	31	0.53	0.53	NUM
cana-1756	217	32	0.51	0.51	NUM
cana-1756	217	33	0.52	0.52	NUM
cana-1756	217	34	150	150	NUM
cana-1756	217	35	150	150	NUM
cana-1756	217	36	communications	communication	NOUN
cana-1756	217	37	on	on	ADP
cana-1756	217	38	applied	apply	VERB
cana-1756	217	39	nonlinear	nonlinear	ADJ
cana-1756	217	40	analysis	analysis	NOUN
cana-1756	217	41	issn	issn	NOUN
cana-1756	217	42	:	:	PUNCT
cana-1756	217	43	1074	1074	NUM
cana-1756	217	44	-	-	PUNCT
cana-1756	217	45	133x	133x	NUM
cana-1756	217	46	vol	vol	NOUN
cana-1756	217	47	32	32	NUM
cana-1756	217	48	no	no	NOUN
cana-1756	217	49	.	.	NOUN
cana-1756	217	50	2	2	NUM
cana-1756	217	51	(	(	PUNCT
cana-1756	217	52	2025	2025	NUM
cana-1756	217	53	)	)	PUNCT
cana-1756	218	1	424	424	NUM
cana-1756	218	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	218	3	vgg19	vgg19	PROPN
cana-1756	218	4	-	-	PUNCT
cana-1756	218	5	xgboost	xgboost	PROPN
cana-1756	218	6	0.53	0.53	NUM
cana-1756	218	7	0.53	0.53	NUM
cana-1756	218	8	0.54	0.54	NUM
cana-1756	218	9	0.53	0.53	NUM
cana-1756	218	10	0.54	0.54	NUM
cana-1756	218	11	0.53	0.53	NUM
cana-1756	218	12	150	150	NUM
cana-1756	218	13	150	150	NUM
cana-1756	218	14	inceptionv3	inceptionv3	NOUN
cana-1756	218	15	-	-	PUNCT
cana-1756	218	16	xgboost	xgboost	NOUN
cana-1756	218	17	0.46	0.46	NUM
cana-1756	218	18	0.47	0.47	NUM
cana-1756	218	19	0.43	0.43	NUM
cana-1756	218	20	0.50	0.50	NUM
cana-1756	218	21	0.45	0.45	NUM
cana-1756	218	22	0.48	0.48	NUM
cana-1756	218	23	150	150	NUM
cana-1756	218	24	150	150	NUM
cana-1756	218	25	efficientnetb0	efficientnetb0	NOUN
cana-1756	218	26	-	-	PUNCT
cana-1756	218	27	xgboost	xgboost	PROPN
cana-1756	218	28	0.50	0.50	NUM
cana-1756	218	29	0.00	0.00	NUM
cana-1756	218	30	1.00	1.00	NUM
cana-1756	218	31	0.00	0.00	NUM
cana-1756	218	32	0.67	0.67	NUM
cana-1756	218	33	0.00	0.00	NUM
cana-1756	218	34	150	150	NUM
cana-1756	218	35	150	150	NUM
cana-1756	218	36	efficientnetb7	efficientnetb7	NOUN
cana-1756	218	37	-	-	PUNCT
cana-1756	218	38	xgboost	xgboost	PROPN
cana-1756	218	39	0.50	0.50	NUM
cana-1756	218	40	0.00	0.00	NUM
cana-1756	218	41	1.00	1.00	NUM
cana-1756	218	42	0.00	0.00	NUM
cana-1756	218	43	0.67	0.67	NUM
cana-1756	218	44	0.00	0.00	NUM
cana-1756	218	45	150	150	NUM
cana-1756	218	46	150	150	NUM
cana-1756	218	47	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	218	48	-	-	PUNCT
cana-1756	218	49	xgboost	xgboost	PROPN
cana-1756	218	50	0.54	0.54	NUM
cana-1756	218	51	0.53	0.53	NUM
cana-1756	218	52	0.49	0.49	NUM
cana-1756	218	53	0.58	0.58	NUM
cana-1756	218	54	0.52	0.52	NUM
cana-1756	218	55	0.56	0.56	NUM
cana-1756	218	56	150	150	NUM
cana-1756	218	57	150	150	NUM
cana-1756	218	58	in	in	ADP
cana-1756	218	59	addition	addition	NOUN
cana-1756	218	60	,	,	PUNCT
cana-1756	218	61	the	the	DET
cana-1756	218	62	vgg16	vgg16	NOUN
cana-1756	218	63	-	-	PUNCT
cana-1756	218	64	xgboost	xgboost	PROPN
cana-1756	218	65	and	and	CCONJ
cana-1756	218	66	vgg19	vgg19	PROPN
cana-1756	218	67	-	-	PUNCT
cana-1756	218	68	xgboost	xgboost	NOUN
cana-1756	218	69	models	model	NOUN
cana-1756	218	70	fared	fare	VERB
cana-1756	218	71	better	well	ADJ
cana-1756	218	72	than	than	ADP
cana-1756	218	73	other	other	ADJ
cana-1756	218	74	hybrid	hybrid	NOUN
cana-1756	218	75	models	model	NOUN
cana-1756	218	76	when	when	SCONJ
cana-1756	218	77	it	it	PRON
cana-1756	218	78	came	come	VERB
cana-1756	218	79	to	to	ADP
cana-1756	218	80	the	the	DET
cana-1756	218	81	monitoring	monitoring	NOUN
cana-1756	218	82	attention	attention	NOUN
cana-1756	218	83	test	test	NOUN
cana-1756	218	84	.	.	PUNCT
cana-1756	219	1	as	as	ADP
cana-1756	219	2	a	a	DET
cana-1756	219	3	result	result	NOUN
cana-1756	219	4	of	of	ADP
cana-1756	219	5	their	their	PRON
cana-1756	219	6	testing	testing	NOUN
cana-1756	219	7	,	,	PUNCT
cana-1756	219	8	they	they	PRON
cana-1756	219	9	achieved	achieve	VERB
cana-1756	219	10	accuracy	accuracy	NOUN
cana-1756	219	11	levels	level	NOUN
cana-1756	219	12	that	that	PRON
cana-1756	219	13	were	be	AUX
cana-1756	219	14	at	at	ADP
cana-1756	219	15	least	least	ADJ
cana-1756	219	16	higher	high	ADJ
cana-1756	219	17	than	than	ADP
cana-1756	219	18	those	those	PRON
cana-1756	219	19	of	of	ADP
cana-1756	219	20	other	other	ADJ
cana-1756	219	21	hybrid	hybrid	ADJ
cana-1756	219	22	models	model	NOUN
cana-1756	219	23	,	,	PUNCT
cana-1756	219	24	which	which	PRON
cana-1756	219	25	indicates	indicate	VERB
cana-1756	219	26	that	that	SCONJ
cana-1756	219	27	the	the	DET
cana-1756	219	28	models	model	NOUN
cana-1756	219	29	operate	operate	VERB
cana-1756	219	30	better	well	ADJ
cana-1756	219	31	than	than	ADP
cana-1756	219	32	other	other	ADJ
cana-1756	219	33	hybrid	hybrid	NOUN
cana-1756	219	34	models	model	NOUN
cana-1756	219	35	[	[	X
cana-1756	219	36	20	20	NUM
cana-1756	219	37	]	]	PUNCT
cana-1756	219	38	.	.	PUNCT
cana-1756	220	1	6	6	NUM
cana-1756	220	2	.	.	X
cana-1756	220	3	discussion	discussion	NOUN
cana-1756	220	4	and	and	CCONJ
cana-1756	220	5	future	future	ADJ
cana-1756	220	6	work	work	NOUN
cana-1756	220	7	these	these	DET
cana-1756	220	8	results	result	NOUN
cana-1756	220	9	from	from	ADP
cana-1756	220	10	the	the	DET
cana-1756	220	11	pre	pre	ADJ
cana-1756	220	12	-	-	ADJ
cana-1756	220	13	trained	trained	ADJ
cana-1756	220	14	and	and	CCONJ
cana-1756	220	15	hybrid	hybrid	ADJ
cana-1756	220	16	model	model	NOUN
cana-1756	220	17	studies	study	NOUN
cana-1756	220	18	were	be	AUX
cana-1756	220	19	further	far	ADV
cana-1756	220	20	supported	support	VERB
cana-1756	220	21	by	by	ADP
cana-1756	220	22	variations	variation	NOUN
cana-1756	220	23	in	in	ADP
cana-1756	220	24	the	the	DET
cana-1756	220	25	performance	performance	NOUN
cana-1756	220	26	of	of	ADP
cana-1756	220	27	the	the	DET
cana-1756	220	28	individual	individual	ADJ
cana-1756	220	29	pre	pre	ADJ
cana-1756	220	30	-	-	ADJ
cana-1756	220	31	trained	train	VERB
cana-1756	220	32	models	model	NOUN
cana-1756	220	33	and	and	CCONJ
cana-1756	220	34	by	by	ADP
cana-1756	220	35	additional	additional	ADJ
cana-1756	220	36	research	research	NOUN
cana-1756	220	37	employing	employ	VERB
cana-1756	220	38	different	different	ADJ
cana-1756	220	39	assessment	assessment	NOUN
cana-1756	220	40	measures	measure	NOUN
cana-1756	220	41	.	.	PUNCT
cana-1756	221	1	overall	overall	ADV
cana-1756	221	2	,	,	PUNCT
cana-1756	221	3	the	the	DET
cana-1756	221	4	work	work	NOUN
cana-1756	221	5	indicates	indicate	VERB
cana-1756	221	6	that	that	SCONJ
cana-1756	221	7	vgg16	vgg16	NOUN
cana-1756	221	8	-	-	PUNCT
cana-1756	221	9	xgboost	xgboost	PROPN
cana-1756	221	10	and	and	CCONJ
cana-1756	221	11	vgg19	vgg19	PROPN
cana-1756	221	12	-	-	PUNCT
cana-1756	221	13	xgboost	xgboost	PROPN
cana-1756	221	14	have	have	VERB
cana-1756	221	15	the	the	DET
cana-1756	221	16	best	good	ADJ
cana-1756	221	17	performance	performance	NOUN
cana-1756	221	18	and	and	CCONJ
cana-1756	221	19	validates	validate	VERB
cana-1756	221	20	that	that	PRON
cana-1756	221	21	xgboost	xgboost	PROPN
cana-1756	221	22	may	may	AUX
cana-1756	221	23	be	be	AUX
cana-1756	221	24	integrated	integrate	VERB
cana-1756	221	25	with	with	ADP
cana-1756	221	26	pre	pre	ADJ
cana-1756	221	27	-	-	ADJ
cana-1756	221	28	trained	train	VERB
cana-1756	221	29	models	model	NOUN
cana-1756	221	30	for	for	ADP
cana-1756	221	31	attention	attention	NOUN
cana-1756	221	32	monitoring	monitoring	NOUN
cana-1756	221	33	.	.	PUNCT
cana-1756	222	1	a	a	DET
cana-1756	222	2	few	few	ADJ
cana-1756	222	3	important	important	ADJ
cana-1756	222	4	considerations	consideration	NOUN
cana-1756	222	5	for	for	ADP
cana-1756	222	6	suggesting	suggest	VERB
cana-1756	222	7	the	the	DET
cana-1756	222	8	direction	direction	NOUN
cana-1756	222	9	of	of	ADP
cana-1756	222	10	this	this	DET
cana-1756	222	11	endeavor	endeavor	NOUN
cana-1756	222	12	are	be	AUX
cana-1756	222	13	listed	list	VERB
cana-1756	222	14	below	below	ADV
cana-1756	222	15	.	.	PUNCT
cana-1756	223	1	•	•	NUM
cana-1756	223	2	multi	multi	ADJ
cana-1756	223	3	-	-	ADJ
cana-1756	223	4	modal	modal	ADJ
cana-1756	223	5	data	datum	NOUN
cana-1756	223	6	integration	integration	NOUN
cana-1756	223	7	:	:	PUNCT
cana-1756	223	8	combining	combine	VERB
cana-1756	223	9	physiological	physiological	ADJ
cana-1756	223	10	data	datum	NOUN
cana-1756	223	11	sources	source	NOUN
cana-1756	223	12	such	such	ADJ
cana-1756	223	13	as	as	ADP
cana-1756	223	14	electroencephalography	electroencephalography	NOUN
cana-1756	223	15	(	(	PUNCT
cana-1756	223	16	eeg	eeg	NOUN
cana-1756	223	17	)	)	PUNCT
cana-1756	223	18	,	,	PUNCT
cana-1756	223	19	heart	heart	NOUN
cana-1756	223	20	rate	rate	NOUN
cana-1756	223	21	,	,	PUNCT
cana-1756	223	22	and	and	CCONJ
cana-1756	223	23	facial	facial	ADJ
cana-1756	223	24	expressions	expression	NOUN
cana-1756	223	25	with	with	ADP
cana-1756	223	26	eye	eye	NOUN
cana-1756	223	27	-	-	PUNCT
cana-1756	223	28	gaze	gaze	NOUN
cana-1756	223	29	data	datum	NOUN
cana-1756	223	30	to	to	PART
cana-1756	223	31	provide	provide	VERB
cana-1756	223	32	a	a	DET
cana-1756	223	33	more	more	ADV
cana-1756	223	34	complete	complete	ADJ
cana-1756	223	35	attention	attention	NOUN
cana-1756	223	36	monitoring	monitoring	NOUN
cana-1756	223	37	model	model	NOUN
cana-1756	223	38	.	.	PUNCT
cana-1756	224	1	in	in	ADP
cana-1756	224	2	terms	term	NOUN
cana-1756	224	3	of	of	ADP
cana-1756	224	4	how	how	SCONJ
cana-1756	224	5	someone	someone	PRON
cana-1756	224	6	is	be	AUX
cana-1756	224	7	paying	pay	VERB
cana-1756	224	8	attention	attention	NOUN
cana-1756	224	9	,	,	PUNCT
cana-1756	224	10	multi	multi	ADJ
cana-1756	224	11	-	-	ADJ
cana-1756	224	12	modal	modal	ADJ
cana-1756	224	13	integration	integration	NOUN
cana-1756	224	14	is	be	AUX
cana-1756	224	15	far	far	ADV
cana-1756	224	16	more	more	ADV
cana-1756	224	17	revealing	revealing	ADJ
cana-1756	224	18	.	.	PUNCT
cana-1756	225	1	•	•	NUM
cana-1756	225	2	real	real	ADJ
cana-1756	225	3	-	-	PUNCT
cana-1756	225	4	time	time	NOUN
cana-1756	225	5	monitoring	monitoring	NOUN
cana-1756	225	6	and	and	CCONJ
cana-1756	225	7	feedback	feedback	NOUN
cana-1756	225	8	:	:	PUNCT
cana-1756	225	9	give	give	VERB
cana-1756	225	10	clients	client	NOUN
cana-1756	225	11	immediate	immediate	ADJ
cana-1756	225	12	solutions	solution	NOUN
cana-1756	225	13	to	to	PART
cana-1756	225	14	assist	assist	VERB
cana-1756	225	15	them	they	PRON
cana-1756	225	16	in	in	ADP
cana-1756	225	17	managing	manage	VERB
cana-1756	225	18	their	their	PRON
cana-1756	225	19	attention	attention	NOUN
cana-1756	225	20	.	.	PUNCT
cana-1756	226	1	these	these	DET
cana-1756	226	2	kinds	kind	NOUN
cana-1756	226	3	of	of	ADP
cana-1756	226	4	technologies	technology	NOUN
cana-1756	226	5	have	have	VERB
cana-1756	226	6	potential	potential	ADJ
cana-1756	226	7	applications	application	NOUN
cana-1756	226	8	in	in	ADP
cana-1756	226	9	fields	field	NOUN
cana-1756	226	10	like	like	ADP
cana-1756	226	11	education	education	NOUN
cana-1756	226	12	,	,	PUNCT
cana-1756	226	13	where	where	SCONJ
cana-1756	226	14	personalized	personalized	ADJ
cana-1756	226	15	attentional	attentional	ADJ
cana-1756	226	16	feedback	feedback	NOUN
cana-1756	226	17	improves	improve	VERB
cana-1756	226	18	learning	learn	VERB
cana-1756	226	19	chances	chance	NOUN
cana-1756	226	20	.	.	PUNCT
cana-1756	227	1	•	•	NUM
cana-1756	227	2	collaboration	collaboration	NOUN
cana-1756	227	3	in	in	ADP
cana-1756	227	4	neuroscience	neuroscience	NOUN
cana-1756	227	5	:	:	PUNCT
cana-1756	227	6	in	in	ADP
cana-1756	227	7	order	order	NOUN
cana-1756	227	8	to	to	PART
cana-1756	227	9	improve	improve	VERB
cana-1756	227	10	neuroscience	neuroscience	NOUN
cana-1756	227	11	research	research	NOUN
cana-1756	227	12	by	by	ADP
cana-1756	227	13	gaining	gain	VERB
cana-1756	227	14	a	a	DET
cana-1756	227	15	deeper	deep	ADJ
cana-1756	227	16	comprehension	comprehension	NOUN
cana-1756	227	17	of	of	ADP
cana-1756	227	18	the	the	DET
cana-1756	227	19	brain	brain	NOUN
cana-1756	227	20	's	's	PART
cana-1756	227	21	attention	attention	NOUN
cana-1756	227	22	-	-	PUNCT
cana-1756	227	23	related	relate	VERB
cana-1756	227	24	processes	process	NOUN
cana-1756	227	25	and	and	CCONJ
cana-1756	227	26	how	how	SCONJ
cana-1756	227	27	they	they	PRON
cana-1756	227	28	connect	connect	VERB
cana-1756	227	29	to	to	PART
cana-1756	227	30	gaze	gaze	VERB
cana-1756	227	31	patterns	pattern	NOUN
cana-1756	227	32	,	,	PUNCT
cana-1756	227	33	collaboration	collaboration	NOUN
cana-1756	227	34	with	with	ADP
cana-1756	227	35	neuroscientists	neuroscientist	NOUN
cana-1756	227	36	will	will	AUX
cana-1756	227	37	be	be	AUX
cana-1756	227	38	encouraged	encourage	VERB
cana-1756	227	39	.	.	PUNCT
cana-1756	228	1	7	7	X
cana-1756	228	2	.	.	X
cana-1756	228	3	conclusion	conclusion	NOUN
cana-1756	228	4	eye	eye	NOUN
cana-1756	228	5	gaze	gaze	NOUN
cana-1756	228	6	for	for	ADP
cana-1756	228	7	monitoring	monitor	VERB
cana-1756	228	8	attention	attention	NOUN
cana-1756	228	9	through	through	ADP
cana-1756	228	10	hybrid	hybrid	ADJ
cana-1756	228	11	ensemble	ensemble	ADJ
cana-1756	228	12	learning	learning	NOUN
cana-1756	228	13	,	,	PUNCT
cana-1756	228	14	a	a	DET
cana-1756	228	15	state	state	NOUN
cana-1756	228	16	-	-	PUNCT
cana-1756	228	17	of	of	ADP
cana-1756	228	18	-	-	PUNCT
cana-1756	228	19	the	the	DET
cana-1756	228	20	-	-	PUNCT
cana-1756	228	21	art	art	NOUN
cana-1756	228	22	multidisciplinary	multidisciplinary	ADJ
cana-1756	228	23	technique	technique	NOUN
cana-1756	228	24	,	,	PUNCT
cana-1756	228	25	combines	combine	VERB
cana-1756	228	26	deep	deep	ADJ
cana-1756	228	27	learning	learning	NOUN
cana-1756	228	28	,	,	PUNCT
cana-1756	228	29	eye	eye	NOUN
cana-1756	228	30	gaze	gaze	NOUN
cana-1756	228	31	monitoring	monitoring	NOUN
cana-1756	228	32	,	,	PUNCT
cana-1756	228	33	and	and	CCONJ
cana-1756	228	34	data	datum	NOUN
cana-1756	228	35	augmentation	augmentation	NOUN
cana-1756	228	36	to	to	PART
cana-1756	228	37	identify	identify	VERB
cana-1756	228	38	,	,	PUNCT
cana-1756	228	39	comprehend	comprehend	VERB
cana-1756	228	40	,	,	PUNCT
cana-1756	228	41	and	and	CCONJ
cana-1756	228	42	forecast	forecast	VERB
cana-1756	228	43	attention	attention	NOUN
cana-1756	228	44	patterns	pattern	NOUN
cana-1756	228	45	in	in	ADP
cana-1756	228	46	a	a	DET
cana-1756	228	47	variety	variety	NOUN
cana-1756	228	48	of	of	ADP
cana-1756	228	49	contexts	contexts	NOUN
cana-1756	228	50	.	.	PUNCT
cana-1756	229	1	applications	application	NOUN
cana-1756	229	2	for	for	ADP
cana-1756	229	3	this	this	DET
cana-1756	229	4	new	new	ADJ
cana-1756	229	5	paradigm	paradigm	NOUN
cana-1756	229	6	could	could	AUX
cana-1756	229	7	be	be	AUX
cana-1756	229	8	found	find	VERB
cana-1756	229	9	in	in	ADP
cana-1756	229	10	a	a	DET
cana-1756	229	11	wide	wide	ADJ
cana-1756	229	12	range	range	NOUN
cana-1756	229	13	of	of	ADP
cana-1756	229	14	fields	field	NOUN
cana-1756	229	15	,	,	PUNCT
cana-1756	229	16	including	include	VERB
cana-1756	229	17	education	education	NOUN
cana-1756	229	18	,	,	PUNCT
cana-1756	229	19	healthcare	healthcare	NOUN
cana-1756	229	20	diagnostics	diagnostic	NOUN
cana-1756	229	21	,	,	PUNCT
cana-1756	229	22	and	and	CCONJ
cana-1756	229	23	improving	improve	VERB
cana-1756	229	24	human	human	ADJ
cana-1756	229	25	-	-	PUNCT
cana-1756	229	26	computer	computer	NOUN
cana-1756	229	27	interface	interface	NOUN
cana-1756	229	28	for	for	ADP
cana-1756	229	29	better	well	ADJ
cana-1756	229	30	attention	attention	NOUN
cana-1756	229	31	tracking	tracking	NOUN
cana-1756	229	32	.	.	PUNCT
cana-1756	230	1	the	the	DET
cana-1756	230	2	model	model	NOUN
cana-1756	230	3	makes	make	VERB
cana-1756	230	4	use	use	NOUN
cana-1756	230	5	of	of	ADP
cana-1756	230	6	pre	pre	ADJ
cana-1756	230	7	-	-	ADJ
cana-1756	230	8	trained	train	VERB
cana-1756	230	9	architectures	architecture	NOUN
cana-1756	230	10	that	that	PRON
cana-1756	230	11	provide	provide	VERB
cana-1756	230	12	the	the	DET
cana-1756	230	13	benefits	benefit	NOUN
cana-1756	230	14	of	of	ADP
cana-1756	230	15	multi	multi	ADJ
cana-1756	230	16	-	-	ADJ
cana-1756	230	17	scale	scale	ADJ
cana-1756	230	18	feature	feature	NOUN
cana-1756	230	19	extraction	extraction	NOUN
cana-1756	230	20	and	and	CCONJ
cana-1756	230	21	efficient	efficient	ADJ
cana-1756	230	22	network	network	NOUN
cana-1756	230	23	designs	design	NOUN
cana-1756	230	24	,	,	PUNCT
cana-1756	230	25	such	such	ADJ
cana-1756	230	26	as	as	ADP
cana-1756	230	27	vgg16	vgg16	PROPN
cana-1756	230	28	,	,	PUNCT
cana-1756	230	29	vgg19	vgg19	PROPN
cana-1756	230	30	,	,	PUNCT
cana-1756	230	31	inceptionv3	inceptionv3	NOUN
cana-1756	230	32	,	,	PUNCT
cana-1756	230	33	efficientnetb0	efficientnetb0	NOUN
cana-1756	230	34	,	,	PUNCT
cana-1756	230	35	efficientnetb7	efficientnetb7	ADV
cana-1756	230	36	,	,	PUNCT
cana-1756	230	37	and	and	CCONJ
cana-1756	230	38	inceptionresnetv2	inceptionresnetv2	NOUN
cana-1756	230	39	.	.	PUNCT
cana-1756	231	1	by	by	ADP
cana-1756	231	2	using	use	VERB
cana-1756	231	3	data	datum	NOUN
cana-1756	231	4	augmentation	augmentation	NOUN
cana-1756	231	5	techniques	technique	NOUN
cana-1756	231	6	like	like	ADP
cana-1756	231	7	rotation	rotation	NOUN
cana-1756	231	8	,	,	PUNCT
cana-1756	231	9	shifting	shift	VERB
cana-1756	231	10	,	,	PUNCT
cana-1756	231	11	and	and	CCONJ
cana-1756	231	12	rescaling	rescaling	NOUN
cana-1756	231	13	,	,	PUNCT
cana-1756	231	14	the	the	DET
cana-1756	231	15	model	model	NOUN
cana-1756	231	16	is	be	AUX
cana-1756	231	17	able	able	ADJ
cana-1756	231	18	to	to	PART
cana-1756	231	19	provide	provide	VERB
cana-1756	231	20	more	more	ADJ
cana-1756	231	21	lifelike	lifelike	ADJ
cana-1756	231	22	representations	representation	NOUN
cana-1756	231	23	of	of	ADP
cana-1756	231	24	items	item	NOUN
cana-1756	231	25	that	that	PRON
cana-1756	231	26	it	it	PRON
cana-1756	231	27	was	be	AUX
cana-1756	231	28	not	not	PART
cana-1756	231	29	trained	train	VERB
cana-1756	231	30	on	on	ADP
cana-1756	231	31	,	,	PUNCT
cana-1756	231	32	increasing	increase	VERB
cana-1756	231	33	the	the	DET
cana-1756	231	34	system	system	NOUN
cana-1756	231	35	's	's	PART
cana-1756	231	36	resilience	resilience	NOUN
cana-1756	231	37	and	and	CCONJ
cana-1756	231	38	adaptability	adaptability	NOUN
cana-1756	231	39	to	to	ADP
cana-1756	231	40	real	real	ADJ
cana-1756	231	41	-	-	PUNCT
cana-1756	231	42	world	world	NOUN
cana-1756	231	43	situations	situation	NOUN
cana-1756	231	44	.	.	PUNCT
cana-1756	232	1	communications	communication	NOUN
cana-1756	232	2	on	on	ADP
cana-1756	232	3	applied	apply	VERB
cana-1756	232	4	nonlinear	nonlinear	ADJ
cana-1756	232	5	analysis	analysis	NOUN
cana-1756	232	6	issn	issn	NOUN
cana-1756	232	7	:	:	PUNCT
cana-1756	232	8	1074	1074	NUM
cana-1756	232	9	-	-	PUNCT
cana-1756	232	10	133x	133x	NUM
cana-1756	232	11	vol	vol	NOUN
cana-1756	232	12	32	32	NUM
cana-1756	232	13	no	no	NOUN
cana-1756	232	14	.	.	NOUN
cana-1756	232	15	2	2	NUM
cana-1756	232	16	(	(	PUNCT
cana-1756	232	17	2025	2025	NUM
cana-1756	232	18	)	)	PUNCT
cana-1756	232	19	425	425	NUM
cana-1756	232	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1756	232	21	references	reference	NOUN
cana-1756	232	22	[	[	X
cana-1756	232	23	1	1	NUM
cana-1756	232	24	]	]	PUNCT
cana-1756	232	25	i.	i.	PROPN
cana-1756	232	26	jegham	jegham	PROPN
cana-1756	232	27	and	and	CCONJ
cana-1756	232	28	others	other	NOUN
cana-1756	232	29	,	,	PUNCT
cana-1756	232	30	“	"	PUNCT
cana-1756	232	31	deep	deep	ADJ
cana-1756	232	32	learning	learning	NOUN
cana-1756	232	33	-	-	PUNCT
cana-1756	232	34	based	base	VERB
cana-1756	232	35	hard	hard	ADJ
cana-1756	232	36	spatial	spatial	ADJ
cana-1756	232	37	attention	attention	NOUN
cana-1756	232	38	for	for	ADP
cana-1756	232	39	driver	driver	NOUN
cana-1756	232	40	in	in	ADP
cana-1756	232	41	-	-	PUNCT
cana-1756	232	42	vehicle	vehicle	NOUN
cana-1756	232	43	action	action	NOUN
cana-1756	232	44	monitoring	monitoring	NOUN
cana-1756	232	45	,	,	PUNCT
cana-1756	232	46	”	"	PUNCT
cana-1756	232	47	expert	expert	NOUN
cana-1756	232	48	syst	syst	PROPN
cana-1756	232	49	appl	appl	PROPN
cana-1756	232	50	,	,	PUNCT
cana-1756	232	51	vol	vol	NOUN
cana-1756	232	52	.	.	PROPN
cana-1756	232	53	219	219	NUM
cana-1756	232	54	,	,	PUNCT
cana-1756	232	55	p.	p.	NOUN
cana-1756	232	56	119629	119629	NUM
cana-1756	232	57	,	,	PUNCT
cana-1756	232	58	2023	2023	NUM
cana-1756	232	59	.	.	PUNCT
cana-1756	233	1	[	[	X
cana-1756	233	2	2	2	X
cana-1756	233	3	]	]	PUNCT
cana-1756	233	4	z.	z.	PROPN
cana-1756	233	5	trabelsi	trabelsi	PROPN
cana-1756	233	6	and	and	CCONJ
cana-1756	233	7	others	other	NOUN
cana-1756	233	8	,	,	PUNCT
cana-1756	233	9	“	"	PUNCT
cana-1756	233	10	real	real	ADJ
cana-1756	233	11	-	-	PUNCT
cana-1756	233	12	time	time	NOUN
cana-1756	233	13	attention	attention	NOUN
cana-1756	233	14	monitoring	monitoring	NOUN
cana-1756	233	15	system	system	NOUN
cana-1756	233	16	for	for	ADP
cana-1756	233	17	classroom	classroom	NOUN
cana-1756	233	18	:	:	PUNCT
cana-1756	233	19	a	a	DET
cana-1756	233	20	deep	deep	ADJ
cana-1756	233	21	learning	learning	NOUN
cana-1756	233	22	approach	approach	NOUN
cana-1756	233	23	for	for	ADP
cana-1756	233	24	student	student	NOUN
cana-1756	233	25	’s	’s	PART
cana-1756	233	26	behavior	behavior	NOUN
cana-1756	233	27	recognition	recognition	NOUN
cana-1756	233	28	,	,	PUNCT
cana-1756	233	29	”	"	PUNCT
cana-1756	233	30	big	big	ADJ
cana-1756	233	31	data	datum	NOUN
cana-1756	233	32	and	and	CCONJ
cana-1756	233	33	cognitive	cognitive	ADJ
cana-1756	233	34	computing	computing	NOUN
cana-1756	233	35	,	,	PUNCT
cana-1756	233	36	vol	vol	NOUN
cana-1756	233	37	.	.	PROPN
cana-1756	233	38	7	7	NUM
cana-1756	233	39	,	,	PUNCT
cana-1756	233	40	no	no	INTJ
cana-1756	233	41	.	.	NOUN
cana-1756	233	42	1	1	NUM
cana-1756	233	43	,	,	PUNCT
cana-1756	233	44	p.	p.	NOUN
cana-1756	233	45	48	48	NUM
cana-1756	233	46	,	,	PUNCT
cana-1756	233	47	2023	2023	NUM
cana-1756	233	48	.	.	PUNCT
cana-1756	234	1	[	[	X
cana-1756	234	2	3	3	NUM
cana-1756	234	3	]	]	PUNCT
cana-1756	234	4	x.	x.	NOUN
cana-1756	234	5	lei	lei	PROPN
cana-1756	234	6	and	and	CCONJ
cana-1756	234	7	others	other	NOUN
cana-1756	234	8	,	,	PUNCT
cana-1756	234	9	“	"	PUNCT
cana-1756	234	10	mutual	mutual	ADJ
cana-1756	234	11	information	information	NOUN
cana-1756	234	12	based	base	VERB
cana-1756	234	13	anomaly	anomaly	NOUN
cana-1756	234	14	detection	detection	NOUN
cana-1756	234	15	of	of	ADP
cana-1756	234	16	monitoring	monitor	VERB
cana-1756	234	17	data	datum	NOUN
cana-1756	234	18	with	with	ADP
cana-1756	234	19	attention	attention	NOUN
cana-1756	234	20	mechanism	mechanism	NOUN
cana-1756	234	21	and	and	CCONJ
cana-1756	234	22	residual	residual	ADJ
cana-1756	234	23	learning	learning	NOUN
cana-1756	234	24	,	,	PUNCT
cana-1756	234	25	”	"	PUNCT
cana-1756	234	26	mech	mech	NOUN
cana-1756	234	27	syst	syst	PROPN
cana-1756	234	28	signal	signal	NOUN
cana-1756	234	29	process	process	NOUN
cana-1756	234	30	,	,	PUNCT
cana-1756	234	31	vol	vol	NOUN
cana-1756	234	32	.	.	PROPN
cana-1756	234	33	182	182	NUM
cana-1756	234	34	,	,	PUNCT
cana-1756	234	35	p.	p.	NOUN
cana-1756	234	36	109607	109607	NUM
cana-1756	234	37	,	,	PUNCT
cana-1756	234	38	2023	2023	NUM
cana-1756	234	39	.	.	PUNCT
cana-1756	235	1	[	[	X
cana-1756	235	2	4	4	NUM
cana-1756	235	3	]	]	X
cana-1756	235	4	r.	r.	PROPN
cana-1756	235	5	v.	v.	PROPN
cana-1756	235	6	bidwe	bidwe	PROPN
cana-1756	235	7	,	,	PUNCT
cana-1756	235	8	s.	s.	PROPN
cana-1756	235	9	mishra	mishra	PROPN
cana-1756	235	10	,	,	PUNCT
cana-1756	235	11	and	and	CCONJ
cana-1756	235	12	s.	s.	PROPN
cana-1756	235	13	bajaj	bajaj	PROPN
cana-1756	235	14	,	,	PUNCT
cana-1756	235	15	“	"	PUNCT
cana-1756	235	16	performance	performance	NOUN
cana-1756	235	17	evaluation	evaluation	NOUN
cana-1756	235	18	of	of	ADP
cana-1756	235	19	transfer	transfer	NOUN
cana-1756	235	20	learning	learning	NOUN
cana-1756	235	21	models	model	NOUN
cana-1756	235	22	for	for	ADP
cana-1756	235	23	asd	asd	NOUN
cana-1756	235	24	prediction	prediction	NOUN
cana-1756	235	25	using	use	VERB
cana-1756	235	26	non	non	ADJ
cana-1756	235	27	-	-	ADJ
cana-1756	235	28	clinical	clinical	ADJ
cana-1756	235	29	analysis	analysis	NOUN
cana-1756	235	30	,	,	PUNCT
cana-1756	235	31	”	"	PUNCT
cana-1756	235	32	in	in	ADP
cana-1756	235	33	proceedings	proceeding	NOUN
cana-1756	235	34	of	of	ADP
cana-1756	235	35	the	the	DET
cana-1756	235	36	2023	2023	NUM
cana-1756	235	37	fifteenth	fifteenth	NOUN
cana-1756	235	38	international	international	ADJ
cana-1756	235	39	conference	conference	NOUN
cana-1756	235	40	on	on	ADP
cana-1756	235	41	contemporary	contemporary	ADJ
cana-1756	235	42	computing	computing	NOUN
cana-1756	235	43	,	,	PUNCT
cana-1756	235	44	new	new	PROPN
cana-1756	235	45	york	york	PROPN
cana-1756	235	46	,	,	PUNCT
cana-1756	235	47	ny	ny	PROPN
cana-1756	235	48	,	,	PUNCT
cana-1756	235	49	usa	usa	PROPN
cana-1756	235	50	:	:	PUNCT
cana-1756	235	51	acm	acm	PROPN
cana-1756	235	52	,	,	PUNCT
cana-1756	235	53	aug	aug	PROPN
cana-1756	235	54	.	.	PROPN
cana-1756	235	55	2023	2023	NUM
cana-1756	235	56	,	,	PUNCT
cana-1756	235	57	pp	pp	ADJ
cana-1756	235	58	.	.	PUNCT
cana-1756	236	1	474–483	474–483	NUM
cana-1756	236	2	.	.	PUNCT
cana-1756	237	1	doi	doi	PROPN
cana-1756	237	2	:	:	PUNCT
cana-1756	237	3	10.1145/3607947.3608050	10.1145/3607947.3608050	NUM
cana-1756	237	4	.	.	PUNCT
cana-1756	238	1	[	[	X
cana-1756	238	2	5	5	X
cana-1756	238	3	]	]	PUNCT
cana-1756	238	4	m.	m.	NOUN
cana-1756	238	5	cheng	cheng	PROPN
cana-1756	238	6	and	and	CCONJ
cana-1756	238	7	others	other	NOUN
cana-1756	238	8	,	,	PUNCT
cana-1756	238	9	“	"	PUNCT
cana-1756	238	10	intelligent	intelligent	ADJ
cana-1756	238	11	tool	tool	NOUN
cana-1756	238	12	wear	wear	VERB
cana-1756	238	13	monitoring	monitoring	NOUN
cana-1756	238	14	and	and	CCONJ
cana-1756	238	15	multi	multi	ADJ
cana-1756	238	16	-	-	ADJ
cana-1756	238	17	step	step	ADJ
cana-1756	238	18	prediction	prediction	NOUN
cana-1756	238	19	based	base	VERB
cana-1756	238	20	on	on	ADP
cana-1756	238	21	deep	deep	ADJ
cana-1756	238	22	learning	learning	NOUN
cana-1756	238	23	model	model	NOUN
cana-1756	238	24	,	,	PUNCT
cana-1756	238	25	”	"	PUNCT
cana-1756	238	26	j	j	PROPN
cana-1756	238	27	manuf	manuf	PROPN
cana-1756	238	28	syst	syst	PROPN
cana-1756	238	29	,	,	PUNCT
cana-1756	238	30	vol	vol	NOUN
cana-1756	238	31	.	.	PROPN
cana-1756	238	32	62	62	NUM
cana-1756	238	33	,	,	PUNCT
cana-1756	238	34	pp	pp	ADJ
cana-1756	238	35	.	.	PUNCT
cana-1756	239	1	286–300	286–300	NUM
cana-1756	239	2	,	,	PUNCT
cana-1756	239	3	2022	2022	NUM
cana-1756	239	4	.	.	PUNCT
cana-1756	240	1	[	[	X
cana-1756	240	2	6	6	NUM
cana-1756	240	3	]	]	PUNCT
cana-1756	240	4	g.	g.	PROPN
cana-1756	240	5	wang	wang	PROPN
cana-1756	240	6	and	and	CCONJ
cana-1756	240	7	f.	f.	PROPN
cana-1756	240	8	zhang	zhang	PROPN
cana-1756	240	9	,	,	PUNCT
cana-1756	240	10	“	"	PUNCT
cana-1756	240	11	a	a	DET
cana-1756	240	12	sequence	sequence	NOUN
cana-1756	240	13	-	-	PUNCT
cana-1756	240	14	to	to	ADP
cana-1756	240	15	-	-	PUNCT
cana-1756	240	16	sequence	sequence	NOUN
cana-1756	240	17	model	model	NOUN
cana-1756	240	18	with	with	ADP
cana-1756	240	19	attention	attention	NOUN
cana-1756	240	20	and	and	CCONJ
cana-1756	240	21	monotonicity	monotonicity	NOUN
cana-1756	240	22	loss	loss	NOUN
cana-1756	240	23	for	for	ADP
cana-1756	240	24	tool	tool	NOUN
cana-1756	240	25	wear	wear	VERB
cana-1756	240	26	monitoring	monitoring	NOUN
cana-1756	240	27	and	and	CCONJ
cana-1756	240	28	prediction	prediction	NOUN
cana-1756	240	29	,	,	PUNCT
cana-1756	240	30	”	"	PUNCT
cana-1756	240	31	ieee	ieee	NOUN
cana-1756	240	32	trans	trans	PROPN
cana-1756	240	33	instrum	instrum	PROPN
cana-1756	240	34	meas	mea	NOUN
cana-1756	240	35	,	,	PUNCT
cana-1756	240	36	vol	vol	NOUN
cana-1756	240	37	.	.	PROPN
cana-1756	241	1	70	70	NUM
cana-1756	241	2	,	,	PUNCT
cana-1756	241	3	pp	pp	PROPN
cana-1756	241	4	.	.	PUNCT
cana-1756	242	1	1–11	1–11	NOUN
cana-1756	242	2	,	,	PUNCT
cana-1756	242	3	2021	2021	NUM
cana-1756	242	4	.	.	PUNCT
cana-1756	243	1	[	[	X
cana-1756	243	2	7	7	X
cana-1756	243	3	]	]	X
cana-1756	243	4	l.	l.	PROPN
cana-1756	243	5	li	li	PROPN
cana-1756	243	6	and	and	CCONJ
cana-1756	243	7	others	other	NOUN
cana-1756	243	8	,	,	PUNCT
cana-1756	243	9	“	"	PUNCT
cana-1756	243	10	monitoring	monitoring	NOUN
cana-1756	243	11	and	and	CCONJ
cana-1756	243	12	prediction	prediction	NOUN
cana-1756	243	13	of	of	ADP
cana-1756	243	14	dust	dust	NOUN
cana-1756	243	15	concentration	concentration	NOUN
cana-1756	243	16	in	in	ADP
cana-1756	243	17	an	an	DET
cana-1756	243	18	open	open	ADJ
cana-1756	243	19	-	-	PUNCT
cana-1756	243	20	pit	pit	NOUN
cana-1756	243	21	mine	mine	NOUN
cana-1756	243	22	using	use	VERB
cana-1756	243	23	a	a	DET
cana-1756	243	24	deep	deep	ADJ
cana-1756	243	25	-	-	PUNCT
cana-1756	243	26	learning	learn	VERB
cana-1756	243	27	algorithm	algorithm	NOUN
cana-1756	243	28	,	,	PUNCT
cana-1756	243	29	”	"	PUNCT
cana-1756	243	30	j	j	PROPN
cana-1756	243	31	environ	environ	PROPN
cana-1756	243	32	health	health	PROPN
cana-1756	243	33	sci	sci	PROPN
cana-1756	243	34	eng	eng	PROPN
cana-1756	243	35	,	,	PUNCT
cana-1756	243	36	vol	vol	NOUN
cana-1756	243	37	.	.	PROPN
cana-1756	243	38	19	19	NUM
cana-1756	243	39	,	,	PUNCT
cana-1756	243	40	pp	pp	ADJ
cana-1756	243	41	.	.	PUNCT
cana-1756	244	1	401–414	401–414	NUM
cana-1756	244	2	,	,	PUNCT
cana-1756	244	3	2021	2021	NUM
cana-1756	244	4	.	.	PUNCT
cana-1756	245	1	[	[	X
cana-1756	245	2	8	8	X
cana-1756	245	3	]	]	PUNCT
cana-1756	245	4	s.	s.	PROPN
cana-1756	245	5	a.	a.	PROPN
cana-1756	245	6	r.	r.	PROPN
cana-1756	245	7	˙i	˙i	PROPN
cana-1756	245	8	.	.	PUNCT
cana-1756	246	1	meriem	meriem	NOUN
cana-1756	246	2	,	,	PUNCT
cana-1756	246	3	a.	a.	NOUN
cana-1756	246	4	moussaoui	moussaoui	NOUN
cana-1756	246	5	,	,	PUNCT
cana-1756	246	6	and	and	CCONJ
cana-1756	246	7	a.	a.	PROPN
cana-1756	246	8	hadid	hadid	PROPN
cana-1756	246	9	,	,	PUNCT
cana-1756	246	10	“	"	PUNCT
cana-1756	246	11	automated	automate	VERB
cana-1756	246	12	facial	facial	ADJ
cana-1756	246	13	expression	expression	NOUN
cana-1756	246	14	recognition	recognition	NOUN
cana-1756	246	15	using	use	VERB
cana-1756	246	16	deep	deep	ADJ
cana-1756	246	17	learning	learning	NOUN
cana-1756	246	18	techniques	technique	NOUN
cana-1756	246	19	:	:	PUNCT
cana-1756	246	20	an	an	DET
cana-1756	246	21	overview	overview	NOUN
cana-1756	246	22	,	,	PUNCT
cana-1756	246	23	”	"	PUNCT
cana-1756	246	24	international	international	ADJ
cana-1756	246	25	journal	journal	NOUN
cana-1756	246	26	of	of	ADP
cana-1756	246	27	informatics	informatic	NOUN
cana-1756	246	28	and	and	CCONJ
cana-1756	246	29	applied	apply	VERB
cana-1756	246	30	mathematics	mathematic	NOUN
cana-1756	246	31	,	,	PUNCT
cana-1756	246	32	vol	vol	NOUN
cana-1756	246	33	.	.	PROPN
cana-1756	247	1	3	3	NUM
cana-1756	247	2	,	,	PUNCT
cana-1756	247	3	no	no	INTJ
cana-1756	247	4	.	.	NOUN
cana-1756	247	5	1	1	NUM
cana-1756	247	6	,	,	PUNCT
cana-1756	247	7	pp	pp	ADJ
cana-1756	247	8	.	.	PUNCT
cana-1756	248	1	39–53	39–53	NUM
cana-1756	248	2	,	,	PUNCT
cana-1756	248	3	2020	2020	NUM
cana-1756	248	4	.	.	PUNCT
cana-1756	249	1	[	[	X
cana-1756	249	2	9	9	NUM
cana-1756	249	3	]	]	PUNCT
cana-1756	249	4	k.	k.	PROPN
cana-1756	249	5	kim	kim	PROPN
cana-1756	249	6	and	and	CCONJ
cana-1756	249	7	j.	j.	PROPN
cana-1756	249	8	jeong	jeong	PROPN
cana-1756	249	9	,	,	PUNCT
cana-1756	249	10	“	"	PUNCT
cana-1756	249	11	real	real	ADJ
cana-1756	249	12	-	-	PUNCT
cana-1756	249	13	time	time	NOUN
cana-1756	249	14	monitoring	monitoring	NOUN
cana-1756	249	15	for	for	ADP
cana-1756	249	16	hydraulic	hydraulic	ADJ
cana-1756	249	17	states	state	NOUN
cana-1756	249	18	based	base	VERB
cana-1756	249	19	on	on	ADP
cana-1756	249	20	convolutional	convolutional	ADJ
cana-1756	249	21	bidirectional	bidirectional	ADJ
cana-1756	249	22	lstm	lstm	NOUN
cana-1756	249	23	with	with	ADP
cana-1756	249	24	attention	attention	NOUN
cana-1756	249	25	mechanism	mechanism	NOUN
cana-1756	249	26	,	,	PUNCT
cana-1756	249	27	”	"	PUNCT
cana-1756	249	28	sensors	sensor	NOUN
cana-1756	249	29	,	,	PUNCT
cana-1756	249	30	vol	vol	NOUN
cana-1756	249	31	.	.	PROPN
cana-1756	249	32	20	20	NUM
cana-1756	249	33	,	,	PUNCT
cana-1756	249	34	no	no	INTJ
cana-1756	249	35	.	.	NOUN
cana-1756	249	36	24	24	NUM
cana-1756	249	37	,	,	PUNCT
cana-1756	249	38	p.	p.	NOUN
cana-1756	249	39	7099	7099	NUM
cana-1756	249	40	,	,	PUNCT
cana-1756	249	41	2020	2020	NUM
cana-1756	249	42	.	.	PUNCT
cana-1756	250	1	[	[	X
cana-1756	250	2	10	10	NUM
cana-1756	250	3	]	]	X
cana-1756	250	4	b.	b.	PROPN
cana-1756	250	5	brousseau	brousseau	PROPN
cana-1756	250	6	,	,	PUNCT
cana-1756	250	7	j.	j.	PROPN
cana-1756	250	8	rose	rise	VERB
cana-1756	250	9	,	,	PUNCT
cana-1756	250	10	and	and	CCONJ
cana-1756	250	11	m.	m.	NOUN
cana-1756	250	12	eizenman	eizenman	NOUN
cana-1756	250	13	,	,	PUNCT
cana-1756	250	14	“	"	PUNCT
cana-1756	250	15	hybrid	hybrid	ADJ
cana-1756	250	16	eyetracking	eyetracking	NOUN
cana-1756	250	17	on	on	ADP
cana-1756	250	18	a	a	DET
cana-1756	250	19	smartphone	smartphone	NOUN
cana-1756	250	20	with	with	ADP
cana-1756	250	21	cnn	cnn	PROPN
cana-1756	250	22	feature	feature	NOUN
cana-1756	250	23	extraction	extraction	NOUN
cana-1756	250	24	and	and	CCONJ
cana-1756	250	25	an	an	DET
cana-1756	250	26	infrared	infrared	ADJ
cana-1756	250	27	3d	3d	PROPN
cana-1756	250	28	model	model	NOUN
cana-1756	250	29	,	,	PUNCT
cana-1756	250	30	”	"	PUNCT
cana-1756	250	31	sensors	sensor	NOUN
cana-1756	250	32	,	,	PUNCT
cana-1756	250	33	vol	vol	NOUN
cana-1756	250	34	.	.	PROPN
cana-1756	250	35	20	20	NUM
cana-1756	250	36	,	,	PUNCT
cana-1756	250	37	no	no	INTJ
cana-1756	250	38	.	.	NOUN
cana-1756	250	39	2	2	NUM
cana-1756	250	40	,	,	PUNCT
cana-1756	250	41	p.	p.	NOUN
cana-1756	250	42	543	543	NUM
cana-1756	250	43	,	,	PUNCT
cana-1756	250	44	2020	2020	NUM
cana-1756	250	45	.	.	PUNCT
cana-1756	251	1	[	[	X
cana-1756	251	2	11	11	NUM
cana-1756	251	3	]	]	PUNCT
cana-1756	251	4	s.	s.	PROPN
cana-1756	251	5	bursic	bursic	PROPN
cana-1756	251	6	and	and	CCONJ
cana-1756	251	7	others	other	NOUN
cana-1756	251	8	,	,	PUNCT
cana-1756	251	9	“	"	PUNCT
cana-1756	251	10	improving	improve	VERB
cana-1756	251	11	the	the	DET
cana-1756	251	12	accuracy	accuracy	NOUN
cana-1756	251	13	of	of	ADP
cana-1756	251	14	automatic	automatic	ADJ
cana-1756	251	15	facial	facial	ADJ
cana-1756	251	16	expression	expression	NOUN
cana-1756	251	17	recognition	recognition	NOUN
cana-1756	251	18	in	in	ADP
cana-1756	251	19	speaking	speak	VERB
cana-1756	251	20	subjects	subject	NOUN
cana-1756	251	21	with	with	ADP
cana-1756	251	22	deep	deep	ADJ
cana-1756	251	23	learning	learning	NOUN
cana-1756	251	24	,	,	PUNCT
cana-1756	251	25	”	"	PUNCT
cana-1756	251	26	applied	apply	VERB
cana-1756	251	27	sciences	science	NOUN
cana-1756	251	28	,	,	PUNCT
cana-1756	251	29	vol	vol	NOUN
cana-1756	251	30	.	.	PROPN
cana-1756	252	1	10	10	NUM
cana-1756	252	2	,	,	PUNCT
cana-1756	252	3	no	no	INTJ
cana-1756	252	4	.	.	NOUN
cana-1756	252	5	11	11	NUM
cana-1756	252	6	,	,	PUNCT
cana-1756	252	7	p.	p.	NOUN
cana-1756	252	8	4002	4002	NUM
cana-1756	252	9	,	,	PUNCT
cana-1756	252	10	2020	2020	NUM
cana-1756	252	11	.	.	PUNCT
cana-1756	253	1	[	[	X
cana-1756	253	2	12	12	NUM
cana-1756	253	3	]	]	PUNCT
cana-1756	253	4	s.	s.	PROPN
cana-1756	253	5	s.	s.	PROPN
cana-1756	253	6	roy	roy	PROPN
cana-1756	253	7	,	,	PUNCT
cana-1756	253	8	m.	m.	PROPN
cana-1756	253	9	ahmed	ahmed	PROPN
cana-1756	253	10	,	,	PUNCT
cana-1756	253	11	and	and	CCONJ
cana-1756	253	12	m.	m.	PROPN
cana-1756	253	13	a.	a.	PROPN
cana-1756	253	14	h.	h.	PROPN
cana-1756	253	15	akhand	akhand	PROPN
cana-1756	253	16	,	,	PUNCT
cana-1756	253	17	“	"	PUNCT
cana-1756	253	18	noisy	noisy	ADJ
cana-1756	253	19	image	image	NOUN
cana-1756	253	20	classification	classification	NOUN
cana-1756	253	21	using	use	VERB
cana-1756	253	22	hybrid	hybrid	ADJ
cana-1756	253	23	deep	deep	ADJ
cana-1756	253	24	learning	learning	NOUN
cana-1756	253	25	methods	method	NOUN
cana-1756	253	26	,	,	PUNCT
cana-1756	253	27	”	"	PUNCT
cana-1756	253	28	journal	journal	NOUN
cana-1756	253	29	of	of	ADP
cana-1756	253	30	information	information	NOUN
cana-1756	253	31	and	and	CCONJ
cana-1756	253	32	communication	communication	NOUN
cana-1756	253	33	technology	technology	NOUN
cana-1756	253	34	,	,	PUNCT
cana-1756	253	35	vol	vol	NOUN
cana-1756	253	36	.	.	PROPN
cana-1756	253	37	17	17	NUM
cana-1756	253	38	,	,	PUNCT
cana-1756	253	39	no	no	INTJ
cana-1756	253	40	.	.	NOUN
cana-1756	253	41	2	2	NUM
cana-1756	253	42	,	,	PUNCT
cana-1756	253	43	pp	pp	ADJ
cana-1756	253	44	.	.	PUNCT
cana-1756	254	1	233–269	233–269	NUM
cana-1756	254	2	,	,	PUNCT
cana-1756	254	3	2018	2018	NUM
cana-1756	254	4	.	.	PUNCT
cana-1756	255	1	[	[	X
cana-1756	255	2	13	13	NUM
cana-1756	255	3	]	]	PUNCT
cana-1756	255	4	a.	a.	NOUN
cana-1756	255	5	fathallah	fathallah	PROPN
cana-1756	255	6	,	,	PUNCT
cana-1756	255	7	l.	l.	PROPN
cana-1756	255	8	abdi	abdi	PROPN
cana-1756	255	9	,	,	PUNCT
cana-1756	255	10	and	and	CCONJ
cana-1756	255	11	a.	a.	NOUN
cana-1756	255	12	douik	douik	NOUN
cana-1756	255	13	,	,	PUNCT
cana-1756	255	14	“	"	PUNCT
cana-1756	255	15	facial	facial	ADJ
cana-1756	255	16	expression	expression	NOUN
cana-1756	255	17	recognition	recognition	NOUN
cana-1756	255	18	via	via	ADP
cana-1756	255	19	deep	deep	ADJ
cana-1756	255	20	learning	learning	NOUN
cana-1756	255	21	,	,	PUNCT
cana-1756	255	22	”	"	PUNCT
cana-1756	255	23	in	in	ADP
cana-1756	255	24	2017	2017	NUM
cana-1756	255	25	ieee	ieee	NOUN
cana-1756	255	26	/	/	SYM
cana-1756	255	27	acs	acs	PROPN
cana-1756	255	28	14th	14th	ADJ
cana-1756	255	29	international	international	ADJ
cana-1756	255	30	conference	conference	NOUN
cana-1756	255	31	on	on	ADP
cana-1756	255	32	computer	computer	NOUN
cana-1756	255	33	systems	system	NOUN
cana-1756	255	34	and	and	CCONJ
cana-1756	255	35	applications	application	NOUN
cana-1756	255	36	(	(	PUNCT
cana-1756	255	37	aiccsa	aiccsa	VERB
cana-1756	255	38	)	)	PUNCT
cana-1756	255	39	,	,	PUNCT
cana-1756	255	40	2017	2017	NUM
cana-1756	255	41	.	.	PUNCT
cana-1756	256	1	[	[	X
cana-1756	256	2	14	14	NUM
cana-1756	256	3	]	]	PUNCT
cana-1756	256	4	s.	s.	PROPN
cana-1756	256	5	kim	kim	PROPN
cana-1756	256	6	,	,	PUNCT
cana-1756	256	7	“	"	PUNCT
cana-1756	256	8	pde	pde	NOUN
cana-1756	256	9	-	-	PUNCT
cana-1756	256	10	based	base	VERB
cana-1756	256	11	image	image	NOUN
cana-1756	256	12	restoration	restoration	NOUN
cana-1756	256	13	:	:	PUNCT
cana-1756	256	14	a	a	DET
cana-1756	256	15	hybrid	hybrid	ADJ
cana-1756	256	16	model	model	NOUN
cana-1756	256	17	and	and	CCONJ
cana-1756	256	18	color	color	NOUN
cana-1756	256	19	image	image	NOUN
cana-1756	256	20	denoising	denoising	NOUN
cana-1756	256	21	,	,	PUNCT
cana-1756	256	22	”	"	PUNCT
cana-1756	256	23	ieee	ieee	NOUN
cana-1756	256	24	transactions	transaction	NOUN
cana-1756	256	25	on	on	ADP
cana-1756	256	26	image	image	NOUN
cana-1756	256	27	processing	processing	NOUN
cana-1756	256	28	,	,	PUNCT
cana-1756	256	29	vol	vol	NOUN
cana-1756	256	30	.	.	PROPN
cana-1756	256	31	15	15	NUM
cana-1756	256	32	,	,	PUNCT
cana-1756	256	33	no	no	INTJ
cana-1756	256	34	.	.	NOUN
cana-1756	256	35	5	5	NUM
cana-1756	256	36	,	,	PUNCT
cana-1756	256	37	pp	pp	ADJ
cana-1756	256	38	.	.	PUNCT
cana-1756	257	1	1163–1170	1163–1170	NUM
cana-1756	257	2	,	,	PUNCT
cana-1756	257	3	2006	2006	NUM
cana-1756	257	4	.	.	PUNCT
cana-1756	258	1	[	[	X
cana-1756	258	2	15	15	NUM
cana-1756	258	3	]	]	X
cana-1756	258	4	m.	m.	NOUN
cana-1756	258	5	s.	s.	PROPN
cana-1756	258	6	bartlett	bartlett	PROPN
cana-1756	258	7	and	and	CCONJ
cana-1756	258	8	others	other	NOUN
cana-1756	258	9	,	,	PUNCT
cana-1756	258	10	“	"	PUNCT
cana-1756	258	11	recognizing	recognize	VERB
cana-1756	258	12	facial	facial	ADJ
cana-1756	258	13	expression	expression	NOUN
cana-1756	258	14	:	:	PUNCT
cana-1756	258	15	machine	machine	NOUN
cana-1756	258	16	learning	learning	NOUN
cana-1756	258	17	and	and	CCONJ
cana-1756	258	18	application	application	NOUN
cana-1756	258	19	to	to	ADP
cana-1756	258	20	spontaneous	spontaneous	ADJ
cana-1756	258	21	behavior	behavior	NOUN
cana-1756	258	22	,	,	PUNCT
cana-1756	258	23	”	"	PUNCT
cana-1756	258	24	in	in	ADP
cana-1756	258	25	2005	2005	NUM
cana-1756	258	26	ieee	ieee	NOUN
cana-1756	258	27	computer	computer	NOUN
cana-1756	258	28	society	society	PROPN
cana-1756	258	29	conference	conference	NOUN
cana-1756	258	30	on	on	ADP
cana-1756	258	31	computer	computer	NOUN
cana-1756	258	32	vision	vision	NOUN
cana-1756	258	33	and	and	CCONJ
cana-1756	258	34	pattern	pattern	NOUN
cana-1756	258	35	recognition	recognition	NOUN
cana-1756	258	36	(	(	PUNCT
cana-1756	258	37	cvpr’05	cvpr’05	PROPN
cana-1756	258	38	)	)	PUNCT
cana-1756	258	39	,	,	PUNCT
cana-1756	258	40	2005	2005	NUM
cana-1756	258	41	.	.	PUNCT
cana-1756	259	1	[	[	X
cana-1756	259	2	16	16	NUM
cana-1756	259	3	]	]	PUNCT
cana-1756	259	4	r.	r.	PROPN
cana-1756	259	5	v	v	PROPN
cana-1756	259	6	bidwe	bidwe	NOUN
cana-1756	259	7	and	and	CCONJ
cana-1756	259	8	others	other	NOUN
cana-1756	259	9	,	,	PUNCT
cana-1756	259	10	“	"	PUNCT
cana-1756	259	11	deep	deep	ADJ
cana-1756	259	12	learning	learning	NOUN
cana-1756	259	13	approaches	approach	VERB
cana-1756	259	14	for	for	ADP
cana-1756	259	15	video	video	NOUN
cana-1756	259	16	compression	compression	NOUN
cana-1756	259	17	:	:	PUNCT
cana-1756	259	18	a	a	DET
cana-1756	259	19	bibliometric	bibliometric	ADJ
cana-1756	259	20	analysis	analysis	NOUN
cana-1756	259	21	,	,	PUNCT
cana-1756	259	22	”	"	PUNCT
cana-1756	259	23	big	big	ADJ
cana-1756	259	24	data	datum	NOUN
cana-1756	259	25	and	and	CCONJ
cana-1756	259	26	cognitive	cognitive	ADJ
cana-1756	259	27	computing	computing	NOUN
cana-1756	259	28	,	,	PUNCT
cana-1756	259	29	vol	vol	NOUN
cana-1756	259	30	.	.	PROPN
cana-1756	259	31	6	6	NUM
cana-1756	259	32	,	,	PUNCT
cana-1756	259	33	no	no	INTJ
cana-1756	259	34	.	.	NOUN
cana-1756	259	35	2	2	NUM
cana-1756	259	36	,	,	PUNCT
cana-1756	259	37	p.	p.	NOUN
cana-1756	259	38	44	44	NUM
cana-1756	259	39	,	,	PUNCT
cana-1756	259	40	apr	apr	PROPN
cana-1756	259	41	.	.	PROPN
cana-1756	259	42	2022	2022	NUM
cana-1756	259	43	,	,	PUNCT
cana-1756	259	44	doi	doi	NOUN
cana-1756	259	45	:	:	PUNCT
cana-1756	259	46	10.3390	10.3390	NUM
cana-1756	259	47	/	/	SYM
cana-1756	259	48	bdcc6020044	bdcc6020044	PROPN
cana-1756	259	49	.	.	PUNCT
cana-1756	260	1	[	[	X
cana-1756	260	2	17	17	NUM
cana-1756	260	3	]	]	X
cana-1756	260	4	d.	d.	PROPN
cana-1756	260	5	mane	mane	PROPN
cana-1756	260	6	,	,	PUNCT
cana-1756	260	7	k.	k.	PROPN
cana-1756	260	8	shah	shah	PROPN
cana-1756	260	9	,	,	PUNCT
cana-1756	260	10	r.	r.	PROPN
cana-1756	260	11	solapure	solapure	PROPN
cana-1756	260	12	,	,	PUNCT
cana-1756	260	13	r.	r.	PROPN
cana-1756	260	14	bidwe	bidwe	PROPN
cana-1756	260	15	,	,	PUNCT
cana-1756	260	16	and	and	CCONJ
cana-1756	260	17	s.	s.	PROPN
cana-1756	260	18	shah	shah	PROPN
cana-1756	260	19	,	,	PUNCT
cana-1756	260	20	“	"	PUNCT
cana-1756	260	21	image	image	NOUN
cana-1756	260	22	-	-	PUNCT
cana-1756	260	23	based	base	VERB
cana-1756	260	24	plant	plant	NOUN
cana-1756	260	25	seedling	seedle	VERB
cana-1756	260	26	classification	classification	NOUN
cana-1756	260	27	using	use	VERB
cana-1756	260	28	ensemble	ensemble	ADJ
cana-1756	260	29	learning	learning	NOUN
cana-1756	260	30	,	,	PUNCT
cana-1756	260	31	”	"	PUNCT
cana-1756	260	32	2023	2023	NUM
cana-1756	260	33	,	,	PUNCT
cana-1756	260	34	pp	pp	ADJ
cana-1756	260	35	.	.	PUNCT
cana-1756	261	1	433–447	433–447	NUM
cana-1756	261	2	.	.	PUNCT
cana-1756	262	1	doi	doi	NOUN
cana-1756	262	2	:	:	PUNCT
cana-1756	262	3	10.1007/978	10.1007/978	NUM
cana-1756	262	4	-	-	SYM
cana-1756	262	5	981	981	NUM
cana-1756	262	6	-	-	PUNCT
cana-1756	262	7	19	19	NUM
cana-1756	262	8	-	-	PUNCT
cana-1756	262	9	2225	2225	NUM
cana-1756	262	10	-	-	PUNCT
cana-1756	262	11	1_39	1_39	NUM
cana-1756	262	12	.	.	PUNCT
cana-1756	263	1	[	[	X
cana-1756	263	2	18	18	NUM
cana-1756	263	3	]	]	X
cana-1756	263	4	s.	s.	PROPN
cana-1756	263	5	nalwar	nalwar	PROPN
cana-1756	263	6	et	et	PROPN
cana-1756	263	7	al	al	PROPN
cana-1756	263	8	.	.	PROPN
cana-1756	263	9	,	,	PUNCT
cana-1756	263	10	“	"	PUNCT
cana-1756	263	11	effresunet	effresunet	NOUN
cana-1756	263	12	:	:	PUNCT
cana-1756	263	13	encoder	encoder	NOUN
cana-1756	263	14	decoder	decoder	NOUN
cana-1756	263	15	architecture	architecture	NOUN
cana-1756	263	16	for	for	ADP
cana-1756	263	17	cloud	cloud	NOUN
cana-1756	263	18	-	-	PUNCT
cana-1756	263	19	type	type	NOUN
cana-1756	263	20	segmentation	segmentation	NOUN
cana-1756	263	21	,	,	PUNCT
cana-1756	263	22	”	"	PUNCT
cana-1756	263	23	big	big	ADJ
cana-1756	263	24	data	datum	NOUN
cana-1756	263	25	and	and	CCONJ
cana-1756	263	26	cognitive	cognitive	ADJ
cana-1756	263	27	computing	computing	NOUN
cana-1756	263	28	,	,	PUNCT
cana-1756	263	29	vol	vol	NOUN
cana-1756	263	30	.	.	PROPN
cana-1756	263	31	6	6	NUM
cana-1756	263	32	,	,	PUNCT
cana-1756	263	33	no	no	INTJ
cana-1756	263	34	.	.	NOUN
cana-1756	263	35	4	4	NUM
cana-1756	263	36	,	,	PUNCT
cana-1756	263	37	p.	p.	NOUN
cana-1756	263	38	150	150	NUM
cana-1756	263	39	,	,	PUNCT
cana-1756	263	40	dec	dec	PROPN
cana-1756	263	41	.	.	PROPN
cana-1756	263	42	2022	2022	NUM
cana-1756	263	43	,	,	PUNCT
cana-1756	263	44	doi	doi	NOUN
cana-1756	263	45	:	:	PUNCT
cana-1756	263	46	10.3390	10.3390	NUM
cana-1756	263	47	/	/	SYM
cana-1756	263	48	bdcc6040150	bdcc6040150	PROPN
cana-1756	263	49	.	.	PUNCT
cana-1756	264	1	[	[	X
cana-1756	264	2	19	19	NUM
cana-1756	264	3	]	]	X
cana-1756	264	4	d.	d.	PROPN
cana-1756	264	5	mane	mane	PROPN
cana-1756	264	6	,	,	PUNCT
cana-1756	264	7	r.	r.	PROPN
cana-1756	264	8	bidwe	bidwe	PROPN
cana-1756	264	9	,	,	PUNCT
cana-1756	264	10	b.	b.	PROPN
cana-1756	264	11	zope	zope	PROPN
cana-1756	264	12	,	,	PUNCT
cana-1756	264	13	and	and	CCONJ
cana-1756	264	14	n.	n.	PROPN
cana-1756	264	15	ranjan	ranjan	PROPN
cana-1756	264	16	,	,	PUNCT
cana-1756	264	17	“	"	PUNCT
cana-1756	264	18	traffic	traffic	NOUN
cana-1756	264	19	density	density	NOUN
cana-1756	264	20	classification	classification	NOUN
cana-1756	264	21	for	for	ADP
cana-1756	264	22	multiclass	multiclass	ADJ
cana-1756	264	23	vehicles	vehicle	NOUN
cana-1756	264	24	using	use	VERB
cana-1756	264	25	customized	customize	VERB
cana-1756	264	26	convolutional	convolutional	ADJ
cana-1756	264	27	neural	neural	ADJ
cana-1756	264	28	network	network	NOUN
cana-1756	264	29	for	for	ADP
cana-1756	264	30	smart	smart	ADJ
cana-1756	264	31	city	city	NOUN
cana-1756	264	32	,	,	PUNCT
cana-1756	264	33	”	"	PUNCT
cana-1756	264	34	2022	2022	NUM
cana-1756	264	35	,	,	PUNCT
cana-1756	264	36	pp	pp	ADV
cana-1756	264	37	.	.	PUNCT
cana-1756	265	1	1015–1030	1015–1030	NUM
cana-1756	265	2	.	.	PUNCT
cana-1756	266	1	doi	doi	NOUN
cana-1756	266	2	:	:	PUNCT
cana-1756	266	3	10.1007/978	10.1007/978	NUM
cana-1756	266	4	-	-	SYM
cana-1756	266	5	981	981	NUM
cana-1756	266	6	-	-	PUNCT
cana-1756	266	7	19	19	NUM
cana-1756	266	8	-	-	PUNCT
cana-1756	266	9	21308_78	21308_78	NUM
cana-1756	266	10	.	.	PUNCT
cana-1756	267	1	[	[	X
cana-1756	267	2	20	20	NUM
cana-1756	267	3	]	]	X
cana-1756	267	4	g.	g.	PROPN
cana-1756	267	5	agrawal	agrawal	PROPN
cana-1756	267	6	,	,	PUNCT
cana-1756	267	7	u.	u.	PROPN
cana-1756	267	8	jha	jha	PROPN
cana-1756	267	9	,	,	PUNCT
cana-1756	267	10	and	and	CCONJ
cana-1756	267	11	r.	r.	PROPN
cana-1756	267	12	bidwe	bidwe	PROPN
cana-1756	267	13	,	,	PUNCT
cana-1756	267	14	“	"	PUNCT
cana-1756	267	15	automatic	automatic	ADJ
cana-1756	267	16	facial	facial	ADJ
cana-1756	267	17	expression	expression	NOUN
cana-1756	267	18	recognition	recognition	NOUN
cana-1756	267	19	using	use	VERB
cana-1756	267	20	advanced	advanced	ADJ
cana-1756	267	21	transfer	transfer	NOUN
cana-1756	267	22	learning	learning	NOUN
cana-1756	267	23	,	,	PUNCT
cana-1756	267	24	”	"	PUNCT
cana-1756	267	25	in	in	ADP
cana-1756	267	26	proceedings	proceeding	NOUN
cana-1756	267	27	of	of	ADP
cana-1756	267	28	the	the	DET
cana-1756	267	29	2023	2023	NUM
cana-1756	267	30	fifteenth	fifteenth	NOUN
cana-1756	267	31	international	international	ADJ
cana-1756	267	32	conference	conference	NOUN
cana-1756	267	33	on	on	ADP
cana-1756	267	34	contemporary	contemporary	ADJ
cana-1756	267	35	computing	computing	NOUN
cana-1756	267	36	,	,	PUNCT
cana-1756	267	37	new	new	PROPN
cana-1756	267	38	york	york	PROPN
cana-1756	267	39	,	,	PUNCT
cana-1756	267	40	ny	ny	PROPN
cana-1756	267	41	,	,	PUNCT
cana-1756	267	42	usa	usa	PROPN
cana-1756	267	43	:	:	PUNCT
cana-1756	267	44	acm	acm	PROPN
cana-1756	267	45	,	,	PUNCT
cana-1756	267	46	aug	aug	PROPN
cana-1756	267	47	.	.	PROPN
cana-1756	267	48	2023	2023	NUM
cana-1756	267	49	,	,	PUNCT
cana-1756	267	50	pp	pp	ADJ
cana-1756	267	51	.	.	PUNCT
cana-1756	268	1	450–458	450–458	NUM
cana-1756	268	2	.	.	PUNCT
cana-1756	269	1	doi	doi	NOUN
cana-1756	269	2	:	:	PUNCT
cana-1756	269	3	10.1145/3607947.3608047	10.1145/3607947.3608047	NUM
cana-1756	269	4	.	.	PUNCT
cana-1756	270	1	[	[	X
cana-1756	270	2	21	21	NUM
cana-1756	270	3	]	]	X
cana-1756	270	4	khetani	khetani	NOUN
cana-1756	270	5	,	,	PUNCT
cana-1756	270	6	vinit	vinit	NOUN
cana-1756	270	7	,	,	PUNCT
cana-1756	270	8	et	et	PROPN
cana-1756	270	9	al	al	PROPN
cana-1756	270	10	.	.	PUNCT
cana-1756	271	1	"	"	PUNCT
cana-1756	271	2	cross	cross	ADJ
cana-1756	271	3	-	-	ADJ
cana-1756	271	4	domain	domain	ADJ
cana-1756	271	5	analysis	analysis	NOUN
cana-1756	271	6	of	of	ADP
cana-1756	271	7	ml	ml	ADP
cana-1756	271	8	and	and	CCONJ
cana-1756	271	9	dl	dl	X
cana-1756	271	10	:	:	PUNCT
cana-1756	271	11	evaluating	evaluate	VERB
cana-1756	271	12	their	their	PRON
cana-1756	271	13	impact	impact	NOUN
cana-1756	271	14	in	in	ADP
cana-1756	271	15	diverse	diverse	ADJ
cana-1756	271	16	domains	domain	NOUN
cana-1756	271	17	.	.	PUNCT
cana-1756	271	18	"	"	PUNCT
cana-1756	272	1	international	international	ADJ
cana-1756	272	2	journal	journal	NOUN
cana-1756	272	3	of	of	ADP
cana-1756	272	4	intelligent	intelligent	ADJ
cana-1756	272	5	systems	system	NOUN
cana-1756	272	6	and	and	CCONJ
cana-1756	272	7	applications	application	NOUN
cana-1756	272	8	in	in	ADP
cana-1756	272	9	engineering	engineer	VERB
cana-1756	272	10	11.7s	11.7s	NUM
cana-1756	272	11	(	(	PUNCT
cana-1756	272	12	2023	2023	NUM
cana-1756	272	13	):	):	PUNCT
cana-1756	272	14	253	253	NUM
cana-1756	272	15	-	-	SYM
cana-1756	272	16	262	262	NUM
cana-1756	272	17	.	.	PUNCT
cana-1756	273	1	[	[	X
cana-1756	273	2	22	22	NUM
cana-1756	273	3	]	]	X
cana-1756	273	4	mane	mane	PROPN
cana-1756	273	5	,	,	PUNCT
cana-1756	273	6	d.	d.	PROPN
cana-1756	273	7	(	(	PUNCT
cana-1756	273	8	2024	2024	NUM
cana-1756	273	9	)	)	PUNCT
cana-1756	273	10	.	.	PUNCT
cana-1756	274	1	nonlinear	nonlinear	ADJ
cana-1756	274	2	analysis	analysis	NOUN
cana-1756	274	3	in	in	ADP
cana-1756	274	4	skin	skin	NOUN
cana-1756	274	5	cancer	cancer	NOUN
cana-1756	274	6	detection	detection	NOUN
cana-1756	274	7	:	:	PUNCT
cana-1756	274	8	customized	customize	VERB
cana-1756	274	9	convolutional	convolutional	ADJ
cana-1756	274	10	neural	neural	ADJ
cana-1756	274	11	networks	network	NOUN
cana-1756	274	12	approach	approach	NOUN
cana-1756	274	13	.	.	PUNCT
cana-1756	275	1	communications	communication	NOUN
cana-1756	275	2	on	on	ADP
cana-1756	275	3	applied	apply	VERB
cana-1756	275	4	nonlinear	nonlinear	ADJ
cana-1756	275	5	analysis	analysis	NOUN
cana-1756	275	6	,	,	PUNCT
cana-1756	275	7	31(2s	31(2s	NUM
cana-1756	275	8	)	)	PUNCT
cana-1756	275	9	,	,	PUNCT
cana-1756	275	10	320	320	NUM
cana-1756	275	11	-	-	SYM
cana-1756	275	12	338	338	NUM